8,030 Tensorflow jobs in the United States

Machine Learning Engineer (AI/ML) TensorFlow Lite, ML Kit, PyTorch

Posted 3 days ago Less than 10 applicants Be one of the first to apply!

Machine Learning Engineer (AI/ML) TensorFlow Lite, ML Kit, PyTorch

• Mountain View, CA

$75.00 - $90.00/hour

Exact compensation may vary based on skills, experience, and location.

40 hrs/wk

Contract (w2)

Remote work partially (20%)

Travel not required

July 7, 2025

End date

January 7, 2026

Superpower

Technology

Capabilities

Data Science and Machine Learning

Technology Architecture

Technical Program/Project Management

Preferred skills

AI/ML Inference

PyTorch (Machine Learning Library)

TensorFlow

Machine Learning Model Monitoring And Evaluation

Preferred industry experience

5 - 8 years of experience

Our Customer is a Silicon Valley-based company that is engaged in researching emerging technologies.

We are seeking a contract Machine Learning Research Engineer to develop advanced on-device machine learning systems that enable secure, adaptive, and scalable intelligence across mobile devices. The role emphasizes building intelligent, adaptive, and privacy-preserving ML systems that operate efficiently within the constraints of mobile environments. The ideal candidate will have strong experience in designing real-time, context-aware inference systems that can respond dynamically to local data patterns and behaviors. This role is a hybrid setup (4 days onsite and 1 day remote/week) in Mountain View, CA.

Responsibilities:

• Design, develop, and deploy on-device machine learning models optimized for Android, ensuring low latency and minimal resource consumption.
• Build robust and scalable ML pipelines using Android-native frameworks such as: TensorFlow Lite, ML Kit (including GenAI APIs), MediaPipe, and PyTorch Mobile
• Implement local signal aggregation and real-time pattern recognition logic to enable responsive in-app actions driven by on-device inference.
• Architect systems that support telemetry, secure logging, and privacy-first feedback collection for monitoring and evaluation.
• Apply model compression and optimization techniques (e.g., quantization, pruning, distillation) to meet mobile performance constraints.
• Develop secure, privacy-first solutions where all data processing and ML inference occur strictly on-device, with no external data exposure.
• Enable mechanisms for continuous local learning and model updates using device-resident data and signals, without compromising privacy.
• Ensure integration with Android's security model and collaborate with platform and product teams to deploy AI features safely at scale.

Skills and Qualifications:

• 5-7 years of experience with a Masters degree, 3+ years of experience with a PhD
• Proven experience in Android development (Kotlin/Java), with strong understanding of system architecture, resource management, and performance tuning.
• Hands-on expertise with on-device ML frameworks including TensorFlow Lite, ML Kit, MediaPipe, and PyTorch Mobile.
• Solid foundation in machine learning and signal processing techniques, such as time-series modeling, clustering, classification, and real-time event detection.
• Strong knowledge of mobile data handling and Android security practices, including permissions, sandboxing, and secure data storage.
• Understanding of privacy-preserving learning techniques and data governance in mobile environments.
• Familiarity with secure data handling on Android, including encrypted storage, permissions, sandboxing, and secure compute enclaves.
• Experience with telemetry systems and evaluation pipelines for monitoring model performance on-device at scale.

Preferred:

• Experience building ML-driven mobile applications in domains requiring user personalization, privacy, or security.
• Understanding of real-time data processing and behavioral modeling on resource-constrained edge devices.
• Knowledge of on-device learning techniques, federated learning, or personalization methods.
• Prior contributions to systems using federated learning, differential privacy, or local fine-tuning of models is a plus
• Experience with backend infrastructure for model management (e.g., model registries, update orchestration, logging frameworks) is a plus.
• Prior work with anomaly detection or behavioral modeling in resource-constrained environments is a plus.
• Experience developing responsive systems capable of monitoring local context and dynamically triggering actions based on model outputs is a plus
• Experience optimizing models for ARM architectures is a plus

We offer a competitive salary range for this position. Most candidates who join our team are hired at the median of this range, ensuring fair and equitable compensation based on experience and qualifications.

Contractor benefits are available through our 3rd Party Employer of Record (Available upon completion of waiting period for eligible engagements)

Benefits include: Medical, Dental, Vision, 401k.

An Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability.

All applicants applying for U.S. job openings must be legally authorized to work in the United States and are required to have U.S. residency at the time of application.

If you are a person with a disability needing assistance with the application, or at any point in the hiring process, please contact us at

#J-18808-Ljbffr

Position- Artificial intelligence/Machine Learning
Duration-Contract
Location- San Antonio, TX

JD
Informatica Powercentre, Machine Learning, Artificial Intelligence(AI)
Strong background in banking, nonlinear Client modeling experience and Client ops experience. GenAI is plus. Machine learning engineer: responsible for researching, building, and designing the artificial intelligence responsible for machine learning and maintaining and improving existing artificial intelligence systems.

Regards,
Pallavi Verma
Sr. Technical Recruiter | Syntricate Technologies Inc.
Direct : |
Email : | Web:

We're hiring! connect with us on LinkedIn nd visit our Jobs Portal

Minority Business Enterprise (MBE) Certified | E-Verified Corporation | Equal Employment Opportunity (EEO) Employer

This e-mail message may contain confidential or legally privileged information and is intended only for the use of the intended recipient(s). Any unauthorized disclosure, dissemination, distribution, copying or the taking of any action in reliance on the information herein is prohibited. Please notify the sender immediately by email if you have received this email by mistake and delete this e-mail from your system. You have received this email as we have your email address shared by you or from one of our data sources or from our member(s) or subscriber(s) list. If you do not want to receive any further emails or updates, please reply and request to unsubscribe .

Position- Artificial intelligence/Machine Learning
Duration-Contract
Location- San Antonio, TX

JD

• Strong background in banking, nonlinear Client modeling experience and Client ops experience.
• GenAI is plus.
• Machine learning engineer: responsible for researching, building, and designing the artificial intelligence responsible for machine learning and maintaining and improving existing artificial intelligence systems.
• 8 to 10 Years

Please note that for this position, candidates must be located in Brazil.

About the Role:

We are looking for a dynamic AI & Software Engineer to join our Transformation & AI team. This role is ideal for someone passionate about bringing the power of AI into real-world business problems.

You will be responsible for leading the implementation of AI solutions using Microsoft's Azure ecosystem, including Azure OpenAI, Copilot frameworks, and Microsoft 365 integrations. The ideal candidate is hands-on, thrives in ambiguity, and can rapidly translate business challenges into technical solutions, excited about prototyping AI agents, building quick PoCs, and shaping strategic AI initiatives.

Key Responsibilities:

• Lead the design and development of AI solutions using Azure AI services, including Azure OpenAI, Cognitive Services, Azure Machine Learning, and Microsoft Copilot SDKs.

• Work closely with business stakeholders to identify high-impact opportunities for AI-driven transformation across back-office operations.

• Build, test, and iterate on proof-of-concepts (PoCs) and pilots that solve real business problems quickly.

• Integrate AI agents and copilots into existing business workflows using Microsoft Power Platform, Graph API, and Teams/365 ecosystem.

• Collaborate with business and software engineering teams to productionize successful PoCs and ensure adherence to full Software Development Lifecycle (SDLC) practices.

• Stay on top of the evolving AI/ML landscape, especially within Microsoft's AI ecosystem, and bring new ideas into the organization.

Qualifications:

• English and Portuguese fluency.

• Bachelor's or Master's degree in Computer Science, Software Engineering, Data Science, or a related field.

• Experience in software development , with focused on AI/ML solutions.

• Proven experience with Azure AI services (Azure OpenAI, Cognitive Services, Azure ML).

• Hands-on experience building copilots or intelligent agents using Microsoft 365 Copilot SDK, Teams Toolkit, Azure AI Foundry, and/or Power Platform.

• Hands-on experience on Azure Cloud Services such as FunctionApps, LogicApps, AppServices, and CosmosDB.

• Strong programming skills in Python, C# , or JavaScript/TypeScript.

• Experience working within Agile SDLC processes, with a deep understanding of best practices for scalable software delivery.

• Familiarity with DevOps practices and CI/CD pipelines on Azure DevOps or GitHub Actions.

• UI/UX skills - HTML, JavaScript. Integrating AI bots into web portals.

• Excellent problem-solving skills and strong communication and collaboration skills to effectively work with technical and non-technical stakeholders.

• Hands-on experience with Salesforce integration and RPA tools - UI Path, Power Automate etc.

Preferred Skills:

• Azure cloud certification.

• Experience with Power Automate and familiarity with Process Automation tools.

• Experience with Retrieval-Augmented Generation (RAG), vector databases (e.g., Azure Cognitive Search, Pinecone, or Qdrant).

• Knowledge and/or experience with LLM frameworks for building Agentic AI like - LangChain, CrewAI, n8n etc.

• Experience integrating LLMs into business process workflows and chat-based UI (Teams, Power Apps, etc.).

• Exposure to enterprise business processes in operations, finance, HR, or legal functions.

• Prior experience in building citizen-developer enablement or AI CoE initiatives is a strong plus.

Please submit your resume in English - we can only consider applications submitted in this language.

#LI-PB1 #LI-Remote

Fortive Corporation Overview

Fortive's essential technology makes the world stronger, safer, and smarter. We accelerate transformation across a broad range of applications including environmental, health and safety compliance, industrial condition monitoring, next-generation product design, and healthcare safety solutions.

We are a global industrial technology innovator with a startup spirit. Our forward-looking companies lead the way in software-powered workflow solutions, data-driven intelligence, AI-powered automation, and other disruptive technologies. We're a force for progress, working alongside our customers and partners to solve challenges on a global scale, from workplace safety in the most demanding conditions to groundbreaking sustainability solutions.

We are a diverse team 17,000 strong, united by a dynamic, inclusive culture and energized by limitless learning and growth. We use the proven Fortive Business System (FBS) to accelerate our positive impact.

At Fortive, we believe in you. We believe in your potential-your ability to learn, grow, and make a difference.

At Fortive, we believe in us. We believe in the power of people working together to solve problems no one could solve alone.

At Fortive, we believe in growth. We're honest about what's working and what isn't, and we never stop improving and innovating.

Fortive: For you, for us, for growth.

About Accruent

Personal development and becoming the best you is all about growth and exploring new skills and opportunities - both in and out of the office. At Accruent, we call this Grow Without Limits, and we're proud to offer each of our employees the resources, coaching and support necessary to achieve Growth Without Limits in their personal and professional lives. Explore where the path takes you.

Accruent is a leading provider of solutions for unifying the built environment -spanning real estate, physical and digital assets, and the integrated technology systems that connect and control them. Accruent continues to set new expectations for how organizations can use data to transform how they manage their facilities and assets. With U.S. headquarters in Austin, Texas, Accruent serves over 5,000 customers in a wide range of industries in more than 100 countries worldwide.

We Are an Equal Opportunity Employer. Fortive Corporation and all Fortive Companies are proud to be equal opportunity employers. We value and encourage diversity and solicit applications from all qualified applicants without regard to race, color, national origin, religion, sex, age, marital status, disability, veteran status, sexual orientation, gender identity or expression, or other characteristics protected by law. Fortive and all Fortive Companies are also committed to providing reasonable accommodations for applicants with disabilities. Individuals who need a reasonable accommodation because of a disability for any part of the employment application process, please contact us at

We are an Equal Opportunity Employer

Fortive Corporation and all Fortive Companies are proud to be equal opportunity employers. We value and encourage diversity and solicit applications from all qualified applicants without regard to race, color, national origin, religion, sex, age, marital status, disability, veteran status, sexual orientation, gender identity or expression, or other characteristics protected by law. Fortive and all Fortive Companies are also committed to providing reasonable accommodations for applicants with disabilities. Individuals who need a reasonable accommodation because of a disability for any part of the employment application process, please contact us at

Company Overview
KLA is a global leader in diversified electronics for the semiconductor manufacturing ecosystem. Virtually every electronic device in the world is produced using our technologies. No laptop, smartphone, wearable device, voice-controlled gadget, flexible screen, VR device or smart car would have made it into your hands without us. KLA invents systems and solutions for the manufacturing of wafers and reticles, integrated circuits, packaging, printed circuit boards and flat panel displays. The innovative ideas and devices that are advancing humanity all begin with inspiration, research and development. KLA focuses more than average on innovation and we invest 15% of sales back into R&D. Our expert teams of physicists, engineers, data scientists and problem-solvers work together with the world's leading technology providers to accelerate the delivery of tomorrow's electronic devices. Life here is exciting and our teams thrive on tackling really hard problems. There is never a dull moment with us.

Group/Division
With over 40 years of semiconductor process control experience, chipmakers around the globe rely on KLA to ensure that their fabs ramp next-generation devices to volume production quickly and cost-effectively. Enabling the movement towards advanced chip design, KLA's Global Products Group (GPG), which is responsible for creating all of KLA's metrology and inspection products, is looking for the best and the brightest research scientist, software engineers, application development engineers, and senior product technology process engineers. The LS-SWIFT Division of KLA's Global Products Group provides patterned wafer inspection systems for high-volume semiconductor manufacturing. Its mission is to deliver market-leading cost of ownership in defect detection for a broad range of applications in the production of semiconductors. Customers from the foundry, logic, memory, automotive, MEMS, advanced packaging and other markets rely upon high-sample wafer inspection information generated by LS-SWIFT products. LS (Laser Scanning) systems enable cost-effective patterned wafer defect detection for the industry's most sophisticated process technologies deployed in leading-edge foundry, logic, DRAM, and NAND fabs. SWIFT (Simultaneous Wafer Inspection at Fast Throughput) systems deliver all-wafer-surface (frontside, backside, and edge) macro inspection that is critical for automotive IC, MEMS, and advanced packaging processes as well as foundry/logic and memory fabs. LS-SWIFT operates from a global footprint that includes the US, Singapore, India and Germany, and serves a worldwide customer base across Asia, Europe and North America.

Job Description/Preferred Qualifications

Job Description

Are you a computer vision engineer or researcher who loves working on challenging unsolved problems in a dynamic and collaborative environment? Have you lead a team taking a computer vision problem from invention to product? KLA could be for you. Come join our high performing team consisting of PhDs, machine vision and algorithm engineers building the next generation of AI enabled semiconductor inspection equipment. The successful candidate will grow their career in the LS-SWIFT algorithms group in Milpitas, C engaged in the following activities.

• Collaborate with KLA's AI and HPC centers of excellence
• Further product roadmaps through applied R&D
• Drive innovation through hackathons and engineering conferences
• Further KLA's technical IP portfolio through generating patent filings

Qualifications

• Subject matter expert in Computer Vision
• Great teammate with excellent written and verbal communication skills.
• Passion for rapid prototyping algorithms using MATLAB or Python. Implementing algorithms in C++ software under Linux is highly preferred
• Familiarity with any of the following is a plus: Sensor Fusion, Linear and Nonlinear Optimization techniques, CUDA/GPU Programming frameworks (e.g., TensorFlow), and Data Analysis and Visualization tools

Minimum Qualifications

Doctorate (Academic) Degree and related work experience of 3 years; Master's Level Degree and related work experience of 6 years; Bachelor's Level Degree and related work experience of 8 years

Base Pay Range: $163,700.00 - $278,300.00 Annually

Primary Location: USA-CA-Milpitas-KLA

KLA's total rewards package for employees may also include participation in performance incentive programs and eligibility for additional benefits including but not limited to: medical, dental, vision, life, and other voluntary benefits, 401(K) including company matching, employee stock purchase program (ESPP), student debt assistance, tuition reimbursement program, development and career growth opportunities and programs, financial planning benefits, wellness benefits including an employee assistance program (EAP), paid time off and paid company holidays, and family care and bonding leave.

Interns are eligible for some of the benefits listed. Our pay ranges are determined by role, level, and location. The range displayed reflects the pay for this position in the primary location identified in this posting. Actual pay depends on several factors, including state minimum pay wage rates, location, job-related skills, experience, and relevant education level or training. We are committed to complying with all applicable federal and state minimum wage requirements where applicable. If applicable, your recruiter can share more about the specific pay range for your preferred location during the hiring process.

KLA is proud to be an Equal Opportunity Employer. We will ensure that qualified individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us at or at +1- to request accommodation.

Be aware of potentially fraudulent job postings or suspicious recruiting activity by persons that are currently posing as KLA employees. KLA never asks for any financial compensation to be considered for an interview, to become an employee, or for equipment. Further, KLA does not work with any recruiters or third parties who charge such fees either directly or on behalf of KLA. Please ensure that you have searched KLA's Careers website for legitimate job postings. KLA follows a recruiting process that involves multiple interviews in person or on video conferencing with our hiring managers. If you are concerned that a communication, an interview, an offer of employment, or that an employee is not legitimate, please send an email to to confirm the person you are communicating with is an employee. We take your privacy very seriously and confidentially handle your information.

Career Area:

Technology, Digital and Data

Job Description:

Your Work Shapes the World at Caterpillar Inc.

When you join Caterpillar, you're joining a global team who cares not just about the work we do - but also about each other. We are the makers, problem solvers, and future world builders who are creating stronger, more sustainable communities. We don't just talk about progress and innovation here - we make it happen, with our customers, where we work and live. Together, we are building a better world, so we can all enjoy living in it.

Your Work Shapes the World at Caterpillar Inc.

Our common values and focus on inclusion and respect drive the decisions made by our company, teams and people. This is why we are committed to hiring and building diverse teams representative of the customers we serve globally. When you join our team, you can apply your unique life and job experiences and work in an environment where your ideas are heard, your contributions are celebrated, and your whole-self matters.

When you join Caterpillar, you're joining a global team who cares not just about the work we do - but also about each other. We are the makers, problem solvers and future world builders who are creating stronger, more sustainable communities. We don't just talk about progress and innovation here - we make it happen, with our customers, where we work and live. Together, we are building a better world, so we can all enjoy living in it.

About Cat Financial

Cat Financial is a subsidiary of Caterpillar Inc., the world's leading manufacturer of construction and mining equipment, off-highway diesel and natural gas engines, industrial gas turbines and diesel-electric locomotives. For more than 40 years, Cat Financial has provided a wide range of financing solutions to customers and Cat® dealers for machines, engines, Solar® gas turbines, genuine Cat parts and services. Headquartered in Nashville, Tennessee, Cat Financial serves customers globally with offices and subsidiaries located throughout North and South America, Asia, Australia, Europe and Africa. Visit cat.com to learn more about Cat Financial.

About the Role

The Business Intelligence and AI team at Caterpillar Financial Services is on a mission to make enterprise data easy to find, easy to use - and accessible through conversation.

We're looking for a hands-on AI Engineer to help bring AI to the heart of our data ecosystem. In this role, you'll lead research, prototyping, and development of solutions that bring business partners closer to data through conversational AI. You'll collaborate with business stakeholders, data engineers, analysts, architects, and leadership to create AI-powered experiences that unlock insights - through natural language, not just dashboards.

If you thrive on innovation, love prototyping, and are passionate about building practical, scalable AI systems that drive real business impact, this is your opportunity.

What you will have

• Experience delivering AI/ML or data-driven production systems at scale

• Deep understanding of conversational AI, LLMs, GPT-based models, and AI agents

• Hands-on experience with Python and modern AI/ML libraries

• Strong experience with Snowflake, agentic frameworks, and multi-agent orchestration

• Ability to rapidly prototype solutions across a range of technologies

• Understanding of enterprise data architectures and self-service analytics needs

• Experience moving prototypes into production in enterprise environments (operations)

• Excellent collaboration and communication skills; able to partner effectively across data, engineering, and business teams

Top candidates will have

• Familiarity with vector databases, embeddings, and semantic search patterns

• Awareness of LLMOps best practices (prompt versioning, response monitoring, cost optimization, etc.)

• Experience with Snowflake Cortex or similar enterprise AI offerings

• Background in designing conversational AI UX flows

• Familiarity with Matillion, Business Objects, PowerBI, Dataiku

• Experience in financial services or regulated industries

Motivational fit

• Builder mindset : you love prototyping, iterating, and delivering useful AI experiences

• Collaborative & communicative : thrive in cross-functional environments

• Innovative & adaptable : energized by exploring new AI capabilities and applying them pragmatically

• Flexible under feedback : you can shift direction quickly and constructively

• Pragmatic & production-oriented : balance innovation with delivering scalable, reliable solutions

• Passionate about contributing to a diverse and inclusive team culture

Degree Requirement

Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related field, and a strong portfolio of applied AI work.

Skill Descriptors

Problem Solving : Knowledge of approaches, tools, techniques for recognizing, anticipating, and resolving organizational, operational or process problems; ability to apply knowledge of problem solving appropriately to diverse situations.

Level: Extensive Experience

• Ensures capture of lessons to be learned from a problem-solving effort.

• Organizes potential problem solvers and leads problem resolution efforts.

• Uses varying problem-solving approaches and techniques as appropriate.

• Contributes to standard practices for problem-solving approaches, tools, and processes.

• Analyzes and synthesizes information and devises alternative resolution strategies.

• Develops successful resolutions to critical or wide-impact problems.

Technology Advising : Knowledge of effective advisory methods and ability to provide valued information and advice to clients regarding products, technologies, services and solutions for a specific technology domain.

Level: Working Knowledge

• Assesses the current technology environment, expressed needs and initiatives of client organizations.

• Uses an effective consulting method to present technology solutions that resolve stated client business issues.

• Advises clients regarding a family of specific products, technologies or services in a technology domain.

• Demonstrates basic competence and sound business knowledge regarding specific products, technologies or services within a domain of technology expertise.

• Achieves consulting relationship rating of 'professional' by delivering timely, meaningful advice meeting client needs in a narrow set of specific technologies.

Application Design, Architecture : Knowledge of basic activities and deliverables of application design; ability to utilize application design methodologies, tools and techniques to convert business requirements and logical models into a technical application design.

Level: Expert

• Consults to others on the technical design of high-impact, multi-technology complex applications.

• Contributes to the establishment and implementation of best practices for application design.

• Leads in evaluating and selecting emerging application design tools and techniques.

• Mentors juniors to create multiple application designs on multiple technology platforms.

• Directs the development of technical standards and platforms for application design.

• Provides application architecture consulting and educational support to associates and business line areas.

Implementation : Knowledge of how to run applications for organizations; ability to implement application software within an organization and help end-users perform specific tasks (ex: accounting or graphic design).

Level: Extensive Experience

• Monitors employees to solve software application problems in a timely and efficient manner.

• Designs a department's implementation strategy while considering issues such as budget, time, technology and human resources.

• Evaluates new application software in order to determine applicability within organizational environments.

• Supervises a team to implement application software within the department.

• Evaluates best practices of application implementation within the industry; learns the principles and practices of application software.

• Advises end users on advanced functions and operational techniques of application software.

System and Technology Integration : Knowledge of the features and facilities of systems; ability to integrate and communicate among applications, databases and technology platforms.

Level Expert

• Consults with others on system and/or technology integration efforts.

• Monitors system and technology integration trends and directions.

• Plays a leadership role in defining systems integration processes and practices.

• Designs complex interfaces, integration strategies and plans.

• Holds an industry wide conference on system integration and migration issues, problems and considerations.

• Demonstrates extensive experience with system and technology integration.

System Testing : Knowledge of system and software testing; ability to design, plan and execute system testing strategies and tactics to ensure the quality of software at all stages of the system life cycle.

Level: Extensive Experience

• Verifies the proper flow of transactions across all input, output and storage channels or devices.

• Evaluates interoperability of new systems with existing systems during the beta testing phase.

• Supervises the testing of complex, multi-platform and distributed applications.

• Designs processes to ensure that the system meets and maintains requirements and expectations.

• Coaches end users on the development of test data and test scenarios for system validation.

• Manages the execution of test plans, including resources, strategies, schedules, processes and tools.

Systems Software Infrastructure : Knowledge of computer architecture and system software interaction; ability to design and build a fundamental architecture of operating systems, database management systems, communications protocols, compilers and other development tools.

Level: Extensive Experience

• Designs and implements software infrastructure and core technologies.

• Develops software architecture and data management policies and procedures.

• Resolves issues regarding the implementation of heterogeneous open systems.

• Evaluates the management of software configuration facilities and practices.

• Coaches on the essential elements of software architecture, platforms and products.

• Facilitates internal and external cooperative and distributed alignment and processing of systems software infrastructure.

Technical Troubleshooting : Knowledge of technical troubleshooting approaches, tools, and techniques; ability to anticipate, recognize, and resolve technical issues on hardware, software, application, or operation.

Level: Extensive Experience

• Emphasizes the business impact of failure and the criticality and timing of needed resolution so that problems can be avoided in the future.

• Creates trouble reports for all issues found and reviews solutions for completeness and correctness.

• Directs the resolution of communications problems in multi-vendor environments.

• Resolves a variety of hardware, software, and communications malfunctions.

• Coaches others on advanced diagnostic techniques and tools for unusual or performance-related problems.

• Facilitates the distribution of releases reports and correction packages to departments or clients.

Summary Pay Range:

$116,532.00 - $216,384.00

Compensation and benefits offered may vary depending on multiple individualized factors, job level, market location, job-related knowledge, skills, individual performance and experience. Please note that salary is only one component of total compensation at Caterpillar.

Benefits:

Subject to plan eligibility, terms, and guidelines. This is a summary list of benefits.

• Medical, dental, and vision benefits*

• Paid time off plan (Vacation, Holidays, Volunteer, etc.)*

• 401(k) savings plans*

• Health Savings Account (HSA)*

• Flexible Spending Accounts (FSAs)*

• Health Lifestyle Programs*

• Employee Assistance Program*

• Voluntary Benefits and Employee Discounts*

• Career Development*

• Incentive bonus*

• Disability benefits

• Life Insurance

• Parental leave

• Adoption benefits

• Tuition Reimbursement

• These benefits also apply to part-time employees

This position requires working onsite five days a week.

Relocation is available for this position.

Visa Sponsorship is not available for this position. This employer is not currently hiring foreign national applicants that require or will require sponsorship tied to a specific employer, such as, H, L, TN, F, J, E, O. As a global company, Caterpillar offers many job opportunities outside of the U.S which can be found through our employment website at

Posting Dates:

August 12, 2025 - August 19, 2025

Any offer of employment is conditioned upon the successful completion of a drug screen.

Caterpillar is an Equal Opportunity Employer, Including Veterans and Individuals with Disabilities. Qualified applicants of any age are encouraged to apply.

Not ready to apply? Join our Talent Community ( .

ASRC Federal is a leading government contractor furthering missions in space, public health and defense. As an Alaska Native owned corporation, our work helps secure an enduring future for our shareholders. Join our team and discover why we are a top veteran employer and Certified Great Place to Work™

JOB DESCRIPTION

ASRC Federal is looking for an experienced AI Engineer - Intermediate to support their work with the U.S. Army Contracting Command (ACC) Chief Information Officer (CIO) G6 at Redstone Arsenal, AL. The AI Engineer will lead a small, focused team consisting of an AI engineer and a Data Architect supporting the development and implementation of artificial intelligence (AI) and machine learning (ML) tools across ACC. These tools will enhance decision-making, optimize workflows, improve communication, and automate key project management functions.

The engineer will lead cross-functional collaboration efforts with data scientists, cybersecurity experts, and subject matter experts. The candidate will also support the Program Manager in task execution oversight, ensuring deliverables are timely, accurate, and aligned with the contract's performance standards. Solutions will leverage AI technologies such as Palantir Foundry, Microsoft Copilot, and other enterprise AI platforms.

KEY RESPONSIBILITIES

• Lead an AI/ML team supporting enterprise-wide automation, analytics, and insight initiatives
• Support the Program Manager in performance monitoring, compliance with training requirements, and team task tracking
• Coordinate technical delivery of AI solutions aligned to mission-specific use cases
• Design, develop, train, and optimize machine learning models for real-world application
• Evaluate model performance and implement improvements based on user and system feedback
• Analyze and preprocess large datasets for use in AI/ML pipelines
• Deploy AI/ML models in secure, on-premises environments, ensuring performance and scalability
• Collaborate with stakeholders to define project requirements and refine solutions for maximum impact
• Use platforms such as Palantir Foundry and Microsoft Copilot to create actionable insights and automation tools
• Draft documentation and provide guidance on AI usage to non-technical users

REQUIRED QUALIFICATIONS

• Minimum of 3 years of experience working in AI/ML.
• Minimum 1 year experience leading teams in technical or engineering environments.
• Experience with:
• Microsoft Office Suite
• AI/ML platforms such as Palantir Foundry, Microsoft Copilot, or similar enterprise tools
• Model development, training, optimization, and deployment
• Preprocessing and analyzing large data sets
• Strong communication and leadership skills, with the ability to manage and guide technical teams
• Ability to define and document AI/ML use cases in coordination with stakeholders

PREFERRED QUALIFICATIONS

• Experience leading AI/ML initiatives within DoD or federal government environments
• Familiarity with Agile development and MLOps practices
• Exposure to Python-based ML libraries (e.g., TensorFlow, scikit-learn, PyTorch)
• Experience integrating AI models into enterprise software systems

CLEARANCE LEVEL

• SECRET Clearance

EDUCATION REQUIRMENTS

• Bachelor's degree in information technology, Cybersecurity, Software Engineering, Data Science, Information Systems, or Computer Science from an ABET-accredited or CAE-designated institution. Will consider 4+ additional years of relevant experience in lieu of degree.

CERTIFICATION

• Security+ Preferred

WORK ENVIRONMENT AND PHYSICAL DEMANDS:

• This role is 100% on-site at Redstone Arsenal, AL.

We invest in the lives of our employees, both in and out of the workplace, by providing competitive pay and benefits packages. Benefits offered may include health care, dental, vision, life insurance; 401(k); education assistance; paid time off including PTO, holidays, and any other paid leave required by law.

EEO Statement

ASRC Federal and its Subsidiaries are Equal Opportunity employers. All qualified applicants will receive consideration for employment without regard to race, gender, color, age, sexual orientation, gender identification, national origin, religion, marital status, ancestry, citizenship, disability, protected veteran status, or any other factor prohibited by applicable law.

Salary : $73,632.00 Annually
Location : Gainesville, FL
Job Type: Full-Time
Job Number: FY25-15998
Department: Information & Telecommunication Services
Division: Applications
Opening Date: 08/08/2025
Closing Date: 8/29/2025 11:59 PM Eastern

Minimum Qualifications

Bachelor's degree in computer science, mathematics, information sciences, or a related field, and two years of progressively responsible experience in artificial intelligence, data analytics, machine learning model development, or application system analysis and design; or any equivalent combination of related education, training and experience. Applicants within six months of meeting the education or experience requirements may be considered for trainee status.

Successful completion of a drug screen and successful completion of all applicable background checks pre-hire and ongoing are required.
Position Summary

This is responsible, advanced technical work in the design, development, and implementation of artificial intelligence and data-driven solutions to support County departments and elected officials. The position focuses on applying machine learning, predictive analytics, and automation tools to enhance decision-making, improve service delivery, and streamline operations across the organization.

An employee assigned to this classification evaluates the needs of County departments and elected officials and translates those needs into AI-driven solutions. These solutions may involve predictive analytics, machine learning models, natural language processing, or intelligent automation, and are implemented using available data sources, cloud platforms, application software, and computing infrastructure in a secure, scalable, and cost-effective manner.

Work is performed under the general direction of a higher-level supervisor and is reviewed through conferences, reports, and observation of results obtained.
Examples of Duties

This is an emergency essential classification. Upon declaration of a disaster and/or emergency, all employees in this classification are required to work.

Exudes a positive customer service focus.

Advocates building organizational culture through aligning decisions with the County's core values.

Designs, develops, trains, tests, and deploys machine learning and AI models to support data-driven decision-making and business process automation.

Analyzes large and complex datasets to identify trends, patterns, and opportunities for predictive insights.

Collaborates with cross-functional teams to define AI use cases, gather requirements, and develop prototypes.

Develops and maintains documentation for AI models, workflows, algorithms, and results to ensure transparency and reproducibility.

Integrates AI and data science solutions into existing enterprise applications and platforms, including Microsoft Azure and Power BI.

Monitors model performance and accuracy over time, retraining and refining algorithms as needed.

Stays current with emerging technologies and industry trends in AI, machine learning, and data analytics.

Ensures AI solutions adhere to ethical, legal, and security standards including data privacy and transparency.

Performs the duties listed, as well as those assigned, with professionalism and a sense of urgency.

NOTE: These examples are intended only as illustrations of the various kinds of work performed in positions allocated to this class. The omission of specific statements of duties does not exclude them from the position if the work is similar, related or a logical assignment to the position.

KNOWLEDGE, SKILLS AND ABILITIES

Extensive knowledge and understanding of data modeling, data wrangling, and exploratory data analysis. Familiarity with artificial intelligence (AI)/machine learning (ML) frameworks.

Knowledge of artificial intelligence and machine learning principles, including unsupervised learning, neural networks, and natural language processing.

Knowledge of ethical AI practices, data governance, and model interpretability standards.

Proficient skills in cloud platforms, particularly Microsoft Azure, including Azure Machine Learning and Azure AI services.

Skills in managing projects and documenting workflows, models, and outcomes clearly and accurately.

Strong analytical and problem-solving skills with the ability to translate business needs into AI-driven solutions.

Ability to interpret complex datasets and produce visualizations using tools such as Power BI.

Ability to communicate technical concepts effectively to non-technical stakeholders.

Ability to work independently and collaboratively in a team environment, managing multiple priorities and deadlines.

Ability to communicate effectively both orally and in writing, including the preparation of written reports and memoranda.

Ability to develop long and short-range goals and ensure they are properly implemented.

Ability to conduct meetings.

Ability to establish and maintain effective working relationships with department heads, fellow employees, constitutionals and the general public.

PHYSICAL DEMANDS: The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

While performing the duties of this job, the employee is regularly required to sit. The employee frequently is required to talk or hear. The employee is occasionally required to stand; walk; use hands to finger, handle or feel; reach with hands and arms; and bend.

The employee must regularly lift and/or move up to 10 pounds and occasionally lift and/or move up to 25 pounds. Specific vision abilities include close vision, color vision, and the ability to adjust focus.
WORK ENVIRONMENT: The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

Work is primarily performed in an office setting.

The noise level in the work environment is usually moderate.
Supplemental Information
Preferred certification: Microsoft Azure AI Fundamentals
An organization is only as good as the people it employs. To attract and retain the best team possible, the Alachua County Board of County Commissioners offers a competitive benefit program. We believe that if we expect our employees to support the County, we must first support the health and financial well-being of our employees and their families, now and as they plan for their future. BoCC-Contributed Benefits

• Medical/Health Insurance
• Employee Life Insurance
• Florida Retirement System
• Employee Assistance Program

Optional Benefits

• Dental Insurance
• Vision Insurance
• Supplemental & Dependent Life Insurance
• Deferred Retirement Program
• Flexible Spending Accounts
• Roth IRA
• Tuition Assistance Program

NOTE: For detailed information regarding available benefits

You may also view regarding benefits.

• FLORIDA RETIREMENT SYSTEM (FRS) The Florida Retirement System is a retirement plan designed to provide an income to a vested employee and his/her family when the employee retires, becomes partially or totally disabled, or dies prior to retirement. A defined benefit or defined contribution option may be chosen by the employee.
• TUITION ASSISTANCE PROGRAM Permanent, full-time employees are eligible for educational assistance funds. Contact the Human Resources Office for program details.
• HOLIDAYS Holidays are as follows:

1. New Years Day
2. Martin Luther King Day
3. Memorial Day
4. Juneteenth
5. Independence Day
6. Labor Day
7. Veterans' Day
8. Thanksgiving Day
9. Friday following Thanksgiving
10. Christmas Eve (IAFF*)
11. Christmas Day
12. Additional Christmas Holiday (All non-IAFF employees)
13. 2 Floating Holidays (All non- IAFF employees)

*IAFF - International Association of Firefighters Pay periods are every two weeks, Monday through Sunday. Payday is Friday. International Association of Firefighters follow the General Contract 7k regarding holidays.

Vacation Leave - Generous vacation accrual rates with payout of unused accrued leave, with some restrictions. For more detailed information regarding vacation leave refer to .

Sick leave is earned at a rate of 4 hours per pay period by all permanent, full-time employees*. At the end of each fiscal year, eligible employees can convert up to 10 days of accrued sick leave to vacation leave on a 2:1 basis. For more detailed information regarding sick leave refer to *Accruals slightly different for IAFF employee.
01

I understand that once my application has been submitted for this specific position that I will NOT be able to make any changes to it. Any changes to my master application will only be reflected in any future positions for which I may apply. Should I desire to have updated information included for this specific position I should contact the Human Resources office at ( for assistance.

• Yes
• No

02

If an applicant meets all minimum qualifications as posted he/she is referred to the appropriate hiring manager. The following Supplemental Questions are specific to the position for which you have applied to assist the hiring manager in screening applications for the ones with the specific experience he/she is seeking.Please be specific in answering these questions as they will be used to evaluate which applications will be given further consideration in the process. I understand and will answer the following supplemental questions completely and thoroughly.

• Yes
• No

03

I understand that failure to provide complete and non-conflicting details regarding my work experience, specific job duties, and/or education level may result in my application being disqualified for not meeting the minimum qualifications for this position.

• Yes
• No

04

I understand that in order for any education or degrees obtained outside the United States (international) to be considered, a foreign equivalency certification must be provided with my application for the international degree. A foreign equivalency certification (FEC) is a report from an accredited educational evaluator that establishes the U.S. educational equivalency of foreign college or university degrees.

• Yes
• No

05

. Have you worked with AI or machine learning platforms (e.g., Microsoft Azure AI, Google Cloud AI, etc)? If yes, please list the platforms used. If no, please indicate No.
06

Are you proficient in programming languages commonly used in AI, such as Python, R, or JavaScript? Yes or No. If yes, please specify which languages and libraries.
07

Have you developed, trained, or deployed any machine learning or AI models? Yes or No. If yes, please briefly describe one.
08

Have you performed data preparation or cleaning for use in AI/ML workflows?

• Yes
• No

09

Have you used AI or data analysis to solve a business or operational problem?

• Yes
• No

10

Have you created or implemented a predictive model in a professional setting?

• Yes
• No

11

Have you worked with teams outside of IT (e.g., HR, Finance, Operations) on AI-related projects?

• Yes
• No

12

Are you familiar with concepts related to AI fairness, bias mitigation, or responsible AI?

• Yes
• No

13

Have you worked with data that required compliance with privacy or ethical standards (e.g., HIPAA, GDPR, FERPA)?

• Yes
• No

Required Question

WilmerHale is a leading, full-service international law firm with 1,000 lawyers located throughout 12 offices in the United States, Europe and Asia. Our lawyers work at the intersection of government, technology and business, and we remain committed to our guiding principles of providing quality, excellent legal and client services; developing diversity among our lawyers and staff and cultivating an environment that promotes an ambitious spirit, collaboration and collegiality by drawing on the extraordinary talents and dynamic experience of our lawyers. Our goal is to reflect the diversity of our clients and the communities in which we practice.

What You Will Be Doing

The Artificial Intelligence Software Engineer is responsible for developing and implementing cutting-edge AI solutions and models to solve complex problems and drive innovation at the firm. This includes working with the legal practices and business departments to support and improve their delivery of services by conceptualizing, developing, delivering, and supporting innovative solutions with a focus on AI and related technologies. The Artificial Intelligence Software Engineer works closely with other technical resources across Information Services (IS) to successfully manage the execution of AI projects, including project definition, requirements gathering, task planning, technical solution development, testing, support, and stakeholder management. Also responsible for supporting the creation of best practices for the development, maintenance, and use of AI solutions, assessing AI-related COTS solutions, as well as assisting end users to create prompts to optimize the effectiveness of the Large Language Models (LLM) solutions. PRINCIPAL DUTIES AND

About the Role

• Collaborates with cross-functional teams to define AI project use cases, requirements, and objectives, ensuring alignment with overall business goals.
• Conducts research to stay up to date with the latest advancements in generative AI, machine learning, and deep learning techniques and identifies opportunities to integrate them into our products and services.
• Provides updates and recommendations to Director, Application Services.
• Optimizes existing generative AI models for improved performance, scalability, and efficiency.
• Develops clear and concise documentation, including technical specifications, user guides, and presentations, to communicate complex AI and related concepts to both technical and non-technical stakeholders.
• Contributes to the establishment of best practices and standards for AI development within the organization.
• Interacts with business stakeholders and explaining technical issues and approaches to a non-technical audience.
• Provides functional and technical support and enhancements for the firm's AI solutions.
• Provides technical mentorship and guidance to other team members.
• Creates and delivers end-user training and documentation and provides second-line support to other users.
• Displays professionalism, quality service and a positive "can do" attitude to internal members/departments of the Firm.
• Initiates building and maintaining strong relationships with team members across functions and more senior client stakeholders. Uses conflict-resolution skills to facilitate strong team dynamics.
• Participates in special projects and performs other duties as assigned.

Required Skills

• Proficient in Python and have experience with machine learning libraries and frameworks such as TensorFlow or PyTorch,
• Experience building recommendation models.
• Strong knowledge of data structures, algorithms, and software engineering principles.
• Familiar with cloud-based platforms and services, such as Azure or AWS.
• Demonstrated ability in .NET technologies using C# as well as related modern development languages and frameworks such as .NET Core, ASP.NET Core, REACT, etc.
• Strong SQL skills, the ability to write complex, efficient queries against extremely large data sets is highly desirable.
• Demonstrated ability to develop software/code (following firm standards) directly applicable to technology encompassed in assigned applications.
• Experience with adherence to a Software Development Methodology like SCRUM and DevOps practices and tools like GitHub, Azure DevOps or other such tools and methodologies.
• Excellent problem-solving skills, with the ability to think critically and creatively to develop innovative solutions.
• Willingness and ability to learn and use new technologies as the need arises.
• Ability to work effectively with both users and technical staff in team-oriented environments.
• Good oral and written communication skills and interpersonal skills including the ability to effectively communicate technical information to both technical and non-technical personnel.
• Ability to work successfully and independently in an atmosphere of multiple projects, shifting priorities, and deadline pressures.
• A strong background in machine learning, deep learning, natural language processing, and software engineering is preferred.
• Experience working with large-scale language models such as GPT-3/4, BERT, Dolly, LLaMA, PaLM2, etc.
• Hands-on experience with LLMs fine-tuning is a plus.
• Experience with natural language processing (NLP) techniques and tools, such as SpaCy and/or NLTK is a plus.
• The ability to be self-directed and learn new technologies quickly is also paramount as the AI technology landscape continues to change rapidly.

Education:

• Bachelor's Degree preferred. Equivalent experience may be considered in lieu of education requirements.

Required Experience

• 1-2 years' experience delivering solutions with at least one of the following: TensorFlow, Pytorch, BERT and/or ChatGPT 3
• 2-3 years of experience in applications and services integration and/or development, with significant specialization in one or more areas of the above-mentioned areas of technology
• 4-5 years of applications web development experience using C# with either .NET Framework or NET CORE a plus
• Experience with the following is a big plus but not required: Microsoft Office 365, Microsoft Graph, Messaging (Rebus, NServiceBus)

For additional information about our benefits, please click here.

This job description is intended to describe the general nature and level of the work being performed by employees in the position. It is not intended to be a complete list of all responsibilities, duties, and skills for positions. The firm reserves the right at all times, in its sole discretion, to add or subtract duties and responsibilities, as it deems necessary.

WilmerHale is an Equal Opportunity Employer. All qualified applicants will receive consideration without regard to race, color, religion, gender, sexual orientation, gender identity, national origin or ancestry, age, disability or veteran status, or other protected status.

#LI-EC1

#LI-Hybrid

Qualifications:

• Proficient in Python and have experience with machine learning libraries and frameworks such as TensorFlow or PyTorch,
• Experience building recommendation models.
• Strong knowledge of data structures, algorithms, and software engineering principles.
• Familiar with cloud-based platforms and services, such as Azure or AWS.
• Demonstrated ability in .NET technologies using C# as well as related modern development languages and frameworks such as .NET Core, ASP.NET Core, REACT, etc.
• Strong SQL skills, the ability to write complex, efficient queries against extremely large data sets is highly desirable.
• Demonstrated ability to develop software/code (following firm standards) directly applicable to technology encompassed in assigned applications.
• Experience with adherence to a Software Development Methodology like SCRUM and DevOps practices and tools like GitHub, Azure DevOps or other such tools and methodologies.
• Excellent problem-solving skills, with the ability to think critically and creatively to develop innovative solutions.
• Willingness and ability to learn and use new technologies as the need arises.
• Ability to work effectively with both users and technical staff in team-oriented environments.
• Good oral and written communication skills and interpersonal skills including the ability to effectively communicate technical information to both technical and non-technical personnel.
• Ability to work successfully and independently in an atmosphere of multiple projects, shifting priorities, and deadline pressures.
• A strong background in machine learning, deep learning, natural language processing, and software engineering is preferred.
• Experience working with large-scale language models such as GPT-3/4, BERT, Dolly, LLaMA, PaLM2, etc.
• Hands-on experience with LLMs fine-tuning is a plus.
• Experience with natural language processing (NLP) techniques and tools, such as SpaCy and/or NLTK is a plus.
• The ability to be self-directed and learn new technologies quickly is also paramount as the AI technology landscape continues to change rapidly.

Education:

• Bachelor's Degree preferred. Equivalent experience may be considered in lieu of education requirements.