15,830 AI Ml Specialist jobs in the United States
AI/ML Specialist
Posted 4 days ago
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Job Description
Overview
Please note that this position is contingent upon the successful award of a contract currently under bid.
Goldbelt Apex, a part of the Healthcare Technology Transformation Group, is a data-focused company dedicated to process and quality in every aspect. As experts in healthcare IT experts, Apex is committed to building systems for healthcare organizations to seamlessly communicate and exchange data across different systems and devices.
Summary:
The AI/ML Specialist integrates AI/ML capabilities into the data mesh, supporting metadata automation and ethical AI use aligned with DoD Responsible AI guidelines.
*This role is based in Falls Church, VA with possible telework.
ResponsibilitiesEssential Job Functions:
- Automate metadata extraction using ML.
- Validate AI/ML pipelines and produce readiness reports.
- Ensure explainability, drift detection, and compliance in testbeds.
- Support data-driven innovation for clinical and operational analytics.
Qualifications
Necessary Skills and Knowledge:
- Understanding of conceptual, logical, and physical data models; normalization and denormalization.
- Knowledge of data extraction, transformation, and loading using tools.
- Design and implementation of scalable data warehouses and data lakes.
- Ability to design efficient data solutions based on business needs.
Minimum Qualifications:
- Master's degree in Data Science, AI, or related field.
- Certification in ML (e.g., TensorFlow Developer).
- Mid to Senior level (4-7 years, 2+ in DoD/healthcare).
- 4+ years in AI/ML development.
- Secret clearance.
Preferred Qualifications:
- Expertise in NLP, OCR, and DoD AI guidelines.
- Familiarity with Advana's analytics tools.
Pay and Benefits
The salary range for this position is $110,000 - $150,000 annually.
At Goldbelt, we value and reward our team's dedication and hard work. We provide a competitive base salary commensurate with your qualifications and experience. As an employee, you'll enjoy a comprehensive benefits package, including medical, dental, and vision insurance, a 401(k) plan with company matching, tax-deferred savings options, supplementary benefits, paid time off, and professional development opportunities.
AI/ML Specialist
Posted 14 days ago
Job Viewed
Job Description
The AI/ML Specialist is responsible for developing, maintaining, and providing support for the Bank's Artificial Intelligence assets with a primary goal of delivering secure, reliable and accurate machine learning solutions.
Essential Functions
Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
- Design, build and implement machine learning models and algorithms.
- Implement and optimize AI and ML solutions.
- Collaborate with data scientists, data engineers and software engineers to integrate models into production systems.
- Analyze large, complex datasets to extract actionable insights.
- Tune and improve model performance and accuracy.
- Document and maintain AI/ML models, experiments, and processes.
- Work closely with Information Security team to ensure compliance with related policies and regulatory requirements.
- Stay up to date with the latest advancements in AI and ML technologies.
- Complies with all policies and procedures as applied to the Bank's BSA/AML policy.
- Perform other duties as assigned.
- Proficiency in programming languages such as Python or R.
- Experience with ML frameworks and libraries.
- Strong understanding of data preprocessing, feature engineering, and model evaluation techniques.
- Familiarity with big data tools (e.g., Hadoop, Spark) and cloud platforms (e.g., Azure, Google Cloud, Google Big Query).
- Knowledge of SQL and database management systems.
- Ability to use large data sets to research, develop and generate algorithms that can learn and assess, analyze, and organize data, execute tests, and optimize the learning process to help develop high performance ML models.
- Ability to learn and become proficient with a variety of software applications and data sources.
- Excellent oral and written communications skills.
- Ability to work effectively both independently and as part of a team.
- Ability to multitask, think creatively and employ an enterprise-wide perspective.
- Strong problem-solving and analytical skills.
- Excellent communication skills to explain complex technical concepts to non-technical stakeholders.
This position does not have supervisory responsibilities.
Work Environment
This job operates in a clerical office setting. This job routinely requires use of standard office equipment such as computers, phones, and multifunction print/copy/scan devices. Office environment with job duties conducted via telephone, face to face meetings, and on the computer.
Physical Demands
This position requires manual dexterity, the ability to lift files and open cabinets. This position requires bending, stooping or standing as necessary.
Travel
Travel may be required for this position.
Education and Experience
- Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, or a related field; or equivalent additional related experience. Master's degree a plus.
- 3+ years of experience in AI/ML model development required, preferably in the financial services or banking industry.
- Proven track record of building and deploying machine learning models in real-world applications.
- Understanding of banking operations, including credit scoring, fraud detection, or customer relationship management, is highly desirable.
- Relevant certifications (e.g., AWS Certified Machine Learning, Google Professional Machine Learning Engineer) are a plus.
- Experience with natural language processing (NLP) for chatbots or customer service automation preferred.
- Familiarity with regulatory requirements in the banking sector preferred.
- Knowledge of DevOps practices for deploying and maintaining AI/ML models in production preferred.
Equal Employment Opportunity/M/F/disability/protected veteran status
Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities and activities may change at any time with or without notice.
Azure Cloud Engineer AI/ML Specialist
Posted 21 days ago
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Job Description
What are the top 3 skills required for this role?
1. Azure Cloud Engineer
2. Terraform, ML Flow, Python
3. Azure AI Services (Fondary, OpenAI and Studio)
Job Description/ Responsibilities
Technical Skills: Proficiency in Azure cloud infrastructure management,
Good knowledge on AI/ML and familiar with JIRA, Agile work flow.
Some experience with SA
• IaC and Terraform
• Understand AI/ML general knowledge and life cycle
• Experience of software life cycle, development best practice
• Azure AI Services (Fondary, OpenAI and Studio)
• MLFlow, Python
• Familiar with JIRA, Agile, work with technical product owner
• GitHub, GitHub actions
Any SA experience would be a plus and focus on AI/ML service PoC, support and development
Diverse Lynx LLC is an Equal Employment Opportunity employer. All qualified applicants will receive due consideration for employment without any discrimination. All applicants will be evaluated solely on the basis of their ability, competence and their proven capability to perform the functions outlined in the corresponding role. We promote and support a diverse workforce across all levels in the company.
Senior AI/ML Specialist Solutions Architect (AI Infra & Cloud)
Posted today
Job Viewed
Job Description
Job Description
About the Company
Our client is a publicly traded company at the forefront of the AI revolution, offering an AI-centric cloud platform that's reshaping the landscape of artificial intelligence. The company provides cutting-edge infrastructure, including large-scale GPU clusters, cloud platforms, tools, and services for developers to service the explosive growth of the global AI industry for Fortune 1000 companies, top-tier innovative startups, and AI researchers.
Company type: Publicly traded
Industry: AI/ML, Cloud Computing, Infrastructure-as-Code
Candidate Location: Remote U.S.
Their mission is to democratize access to AI infrastructure and empower organizations to create, optimize, and deploy AI solutions at any scale. They aim to simplify the complexities of AI development by providing a full-stack AI platform that combines powerful hardware with user-friendly tools and services.
The OpportunityWe are seeking a Senior AI/ML Specialist Solutions Architect to join our client's team. This role offers the chance to design and implement scalable AI solutions for AI-focused customers, working with state-of-the-art technologies and contributing to one of the most powerful commercially available supercomputers.
What You'll DoArchitect and optimize distributed training and inference systems for large-scale AI models
Design and deliver customer-focused solutions that maximize performance and business value
Lead the transition of ML pipelines from POC to scalable production systems
Build long-term customer relationships, ensuring satisfaction and alignment with strategic goals
Create whitepapers, deliver technical presentations, and host webinars to share insights and best practices
Provide technical leadership and mentor teams on AI infrastructure and deployment strategies
Collaborate with engineering and product teams to prioritize customer feedback and influence product roadmaps
5+ years of experience with cloud technologies and infrastructure, ideally in senior MLOps or Solutions Architect roles
Proven expertise in scaling and optimizing AI workloads across multi-node and multi-GPU environments
Demonstrated success delivering ML products, scaling from POC to production
Deep knowledge of ML frameworks like PyTorch and JAX
Strong background in the NVIDIA HPC ecosystem (CUDA, NCCL, Infiniband)
Exceptional communication skills to engage both technical teams and business stakeholders
Legal authorization to work in the United States on a full-time basis without sponsorship
Programming Languages: Python, Go, Java, C++
Infrastructure as Code (IaC): Terraform, Ansible
Orchestration: Kubernetes (K8s), Slurm
DevOps Tools: Git, Docker, Helm
Big Data Frameworks: Spark, Kafka, Hadoop
Databases: SQL, NoSQL, and vector databases
ML Frameworks: PyTorch, TensorFlow, JAX, HuggingFace, Scikit-learn
Competitive compensation: $180,000 - $00,000 per year (negotiable based on experience and location)
Full medical benefits: 100% company-paid medical, dental, and vision coverage for employees and families
401(k) plan with a 4% match program
Stock options plan
Flexible remote work environment
Company-paid short-term, long-term disability, and life insurance coverage
20 weeks paid parental leave for primary caregivers, 12 weeks for secondary caregivers
Up to 85/month for mobile and internet
Work with state-of-the-art AI and cloud technologies, including the latest NVIDIA GPUs
Be part of a team that operates one of the most powerful commercially available supercomputers
Contribute to sustainable AI infrastructure, with energy-efficient data centers that recover waste heat to warm nearby residential buildings
Level 1 - Interview with Talent Acquisition
Level 2 - Interview with the Hiring Manager
Level 3 - Technical Assessment
Reference and Background Checks: conducted after successful interviews
Job Offer: provided to the selected candidate
We are proud to be an equal opportunity workplace and are committed to equal employment opportunity regardless of race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity, or expression, sexual orientation, or any other characteristic protected by applicable federal, state or local law.
Compensation Range: $ 80K - 300K
Senior AI/ML Specialist Solutions Architect (AI Infra & Cloud) (San Francisco)
Posted 12 days ago
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Job Description
Job DescriptionJob DescriptionAbout the Company
Our client is a publicly traded company at the forefront of the AI revolution, offering an AI-centric cloud platform that's reshaping the landscape of artificial intelligence. The company provides cutting-edge infrastructure, including large-scale GPU clusters, cloud platforms, tools, and services for developers to service the explosive growth of the global AI industry for Fortune 1000 companies, top-tier innovative startups, and AI researchers.
Company type: Publicly traded
Industry: AI/ML, Cloud Computing, Infrastructure-as-Code
Candidate Location: Remote U.S.
Their mission is to democratize access to AI infrastructure and empower organizations to create, optimize, and deploy AI solutions at any scale. They aim to simplify the complexities of AI development by providing a full-stack AI platform that combines powerful hardware with user-friendly tools and services.
The Opportunity
We are seeking a Senior AI/ML Specialist Solutions Architect to join our client's team. This role offers the chance to design and implement scalable AI solutions for AI-focused customers, working with state-of-the-art technologies and contributing to one of the most powerful commercially available supercomputers.
What You'll Do
Architect and optimize distributed training and inference systems for large-scale AI models
Design and deliver customer-focused solutions that maximize performance and business value
Lead the transition of ML pipelines from POC to scalable production systems
Build long-term customer relationships, ensuring satisfaction and alignment with strategic goals
Create whitepapers, deliver technical presentations, and host webinars to share insights and best practices
Provide technical leadership and mentor teams on AI infrastructure and deployment strategies
Collaborate with engineering and product teams to prioritize customer feedback and influence product roadmaps
What You Bring
5+ years of experience with cloud technologies and infrastructure, ideally in senior MLOps or Solutions Architect roles
Proven expertise in scaling and optimizing AI workloads across multi-node and multi-GPU environments
Demonstrated success delivering ML products, scaling from POC to production
Deep knowledge of ML frameworks like PyTorch and JAX
Strong background in the NVIDIA HPC ecosystem (CUDA, NCCL, Infiniband)
Exceptional communication skills to engage both technical teams and business stakeholders
Legal authorization to work in the United States on a full-time basis without sponsorship
Technical Skills
Programming : Python, Go, Java, C++
Infrastructure as Code (IaC): Terraform, Ansible
Orchestration: Kubernetes (K8s), Slurm
DevOps Tools: Git, Docker, Helm
Big Data Frameworks: Spark, Kafka, Hadoop
Databases: SQL, NoSQL, and vector databases
ML Frameworks: PyTorch, TensorFlow, JAX, HuggingFace, Scikit-learn
Why Join?
Competitive compensation: $180,000 - $00,000 per year (negotiable based on experience and location)
Full medical benefits: 100% company-paid medical, dental, and vision coverage for employees and families
401(k) plan with a 4% match program
Stock options plan
Flexible remote work environment
Company-paid short-term, long-term , and life insurance coverage
20 weeks paid parental leave for primary caregivers, 12 weeks for secondary caregivers
Up to 85/month for mobile and internet
Work with state-of-the-art AI and cloud technologies, including the latest NVIDIA GPUs
Be part of a team that operates one of the most powerful commercially available supercomputers
Contribute to sustainable AI infrastructure, with energy-efficient data centers that recover waste heat to warm nearby residential buildings
Interviewing Process
Level 1 - Interview with Talent Acquisition
Level 2 - Interview with the Hiring Manager
Level 3 - Technical Assessment
Reference and Background Checks: conducted after successful interviews
Job Offer: provided to the selected candidate
We are proud to be an equal opportunity workplace and are committed to equal employment opportunity regardless of , , , , , , marital status, ancestry, physical or mental , genetic information, veteran status, , or expression, , or any other characteristic protected by applicable federal, state or local law.
Compensation Range: 180K - 300K
#J-18808-LjbffrAI/ML Engineer (NLP Specialist)
Posted 22 days ago
Job Viewed
Job Description
• Proficiency in Python and relevant ML and NLP libraries (e.g., scikit-learn, TensorFlow, PyTorch, spaCy, NLTK).
• Experience with data analysis, visualization tools, and NLP training methodologies.
• Familiarity with bot builder platforms (e.g., Dialogflow, Rasa, Microsoft Bot Framework, Kore.ai).
• Experience working with large language models (LLMs) such as GPT-4, BERT, LaMDA, PaLM, Vertex AI, LLaMA, Azure OpenAI Service.
Roles & Responsibilities
• Designing, implementing, and maintaining secure and stable AI/ML solutions using leading AI technology frameworks, including conversational AI solutions
• ligning AI/ML use cases with business strategies and key performance indicators and other metrics
• Working closely and lead software engineers to build new applications to run on AI/ML platforms
• Perform data analysis, feature engineering, and NLP training to optimize model performance
• Monitoring current and future trends and advancements in AI, machine learning, and other emerging technologies
• Provide vision for relevant technology systems, including those that support enterprise risk management and independent compliance applications, ensuring that engineers use blueprints, architecture, patterns, and design.
• Explore and prototype Client techniques in generative AI/ML including fine-tuning, reinforcement learning with various of reward strategies, transfer learning, and multimodal alignment.
• Build and maintain chatbot solutions using bot builder platforms
• Interfaces with vendors to assess their technology and to guide their product roadmap based on requirements.
• Requires sophisticated analytical thought to resolve issues in a variety of complex situations.
• Develop and maintain applications using Node.js and JavaScript, along with relevant frameworks.
• Contribute to the development of Generative AI use cases and proof-of-concept projects.
• Uses developed communication skills to negotiate and often at higher levels.
• Collaborate with cross-functional teams to integrate AI/ML and NLP solutions into existing products and systems.
• Perform batch testing and quality assurance of chatbot performance and other NLP applications.
• Develop and maintain NLP pipelines for text processing and analysis.
• Implement API and system integrations.
• Manage databases for storing and retrieving user data using MongoDB, SQL, or other NoSQL databases.
• Conduct A/BT testing for conversation flows.
Diverse Lynx LLC is an Equal Employment Opportunity employer. All qualified applicants will receive due consideration for employment without any discrimination. All applicants will be evaluated solely on the basis of their ability, competence and their proven capability to perform the functions outlined in the corresponding role. We promote and support a diverse workforce across all levels in the company.
Machine Learning/AI Engineer
Posted 14 days ago
Job Viewed
Job Description
(This role is open to US Citizens, Green Card holders, GC-EAD only. We do not sponsor visas.)
Summary:
Adidev is looking for an adept Machine Learning Engineer to take the helm in deploying advanced machine learning models, with a special emphasis on Generative AI. In this role, you will craft and refine AI-driven solutions, turning innovative ideas into value-adding features and services, thereby solidifying our market leadership and technological forefront for our clients.
About Adidev Technologies Inc.
Adidev Technologies,( is a premier IT consulting firm delivering top-notch, Machine Learning Engineer, iOS and Android, data scientist, Developer solutions to industry giants including Delta, Google, Apple, Spotify, US Bank, FedEx, and more. We're not just a software consulting company - we're a dynamic force shaping the future of technology. Partnering with industry giants, we consistently deliver groundbreaking solutions that redefine the digital landscape. As we continue to expand our footprint, we're on the hunt for exceptional individuals who can bring their technical prowess to our team and elevate our projects to new levels of innovation.
Expertise: We excel in IT consultative services and quality engineer development, with Good years of experience.
Global Presence: Our diverse employee workforce spans four continents.
Proven Track Record: Hundreds of Fortune 1000 and innovative startup clients with thousands of successful projects across the USA.
How We'll Guide You
Teaching and Development: We are dedicated to nurturing your growth and development, shaping you into an exceptional consultant capable of delivering top-tier solutions to our end clients.
Custom Support: An array of teams, from Development Managers to Tech Subject Matter Experts, are dedicated to your success.
Project Placement: A market-expertise team ensures you secure and thrive in projects with our esteemed clients.
Career Growth: We facilitate industry experience to propel your technical journey forward.
Key Responsibilities:
• Architect and refine sophisticated ML models and algorithms, translating complex datasets into actionable solutions.
• Engage in the full lifecycle of data modeling projects, from understanding business requirements to deployment and monitoring.
• Execute comprehensive data analysis, including preprocessing, feature engineering, and leveraging Generative AI algorithms for novel solutions.
• Lead cross-functional collaborations to integrate Generative AI models into our offerings, enhancing product capabilities and user experiences.
• Apply advanced analytical techniques to analyze vast datasets, identifying trends, anomalies, and opportunities for improvement.
• Execute data preprocessing, feature engineering, and algorithm optimization to enhance model accuracy and efficiency.
• Conduct exploratory data analysis to extract valuable insights and influence strategic decisions.
• Keep abreast of and implement the latest ML trends, tools, and best practices, including AutoML, MLOps, and interpretability frameworks.
• Promote compliance with industry standards and regulatory requirements, emphasizing ethical AI practices.
What You'll Bring
Experience architecting and developing AI or machine learning solutions on platforms such as AWS, Databricks, Azure, Google Cloud and OpenAI.
Software engineering and/or Data Engineering background, especially in one of the major clouds.
Hands-on experience with Deep Learning, LLM, Python, TensorFlow, PyTorch and other AI frameworks
Experience putting ML/AI into production, and ability to talk through best practices and pitfalls.
How to Apply:
Interested candidates are invited to submit a comprehensive application, including a latest updated resume and a detailed cover letter, showcasing your expertise.
Perks and Beyond!
Competitive salary range: Based on experience and market value
Pack your bags! Paid relocation is on us.
Support, even from afar, with our remote assistance.
Regular salary reviews? You betcha!
Ready to Embark?
we invite you to take this extraordinary step with us. Showcase your journey in pushing the limits of mobile engineering by submitting your resume and a curated selection of your most influential projects. At Adidev Technologies, we're dedicated to shaping your success. Join us to craft a future powered by innovation and growth.
Note: Adidev Technologies Inc. is a staunch advocate of diversity and equal opportunity. We warmly welcome applications from candidates of all backgrounds, experiences, and walks of life. Your unique perspective could be the catalyst for our next revolutionary breakthrough
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About the latest Ai ml specialist Jobs in United States !
Machine Learning AI Engineer
Posted 21 days ago
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Job Description
- Strong project experience in Big Data platform with Amazon Web Services and Cloudera Data Platform is must.
- Strong experience with REST API development using Python frameworks (Django, Flask etc.) is must.
- Micro Services/Web service development experience using Spring framework is must.
- 4-5 years of programming experience in AWS, Linux and Data Science notebooks is must.
- Good project experience in Machine Learning, Big Data, NLP, Deep Learning, RDBMS is must.
- 4-5 experience building data pipelines using Python, MLLib, PyTorch, TensorFlow, Numpy/Scipy/Pandas, Spark, Hive
Consultant resources shall possess most of the following technical knowledge and experience:
• Provide technical leadership, develop vision, gather requirements and translate client user requirements into technical architecture.
• 4-5 years of Strong programming experience in Python, Java, Scala, SQL.
• Proficient in Machine Learning Algorithms: Supervised Learning (Regression, Classification, SVM, Decision Trees etc.), Unsupervised Learning (Clustering) and Reinforcement Learning
• Strong Hands-on Experience in building, deploying and productionizing ML models using MLLib, TensorFlow, PyTorch, Keras, Python Scikit-learn etc.
• Hands-on experience building data pipelines using Hadoop components Sqoop, Hive, Spark, Spark SQL, HBase.
• Data Processing and Analysis experience with Pandas, NumPy, Matplotlib/Seaborn etc. and using Big Data technologies (Hadoop/Spark)
• Must have Natural Language Processing (NLP) and Computer Vision experience.
• Ability to evaluate and choose best suited ML algorithms, perform feature engineering and optimize Machine Learning Models is mandatory
• Strong fundamentals in algorithms, data structures, statistics, predictive modeling, & distributed systems is must
• Strong Experience with Data Science Notebooks like Jupyter, Zeppelin, RStudio. PyCharm etc.
• Strong Mathematics and Statistics Background (Linear Algebra, Calculus, Probability and Statistics)
• 4+ years of hands-on Development, Deployment and production Support experience in Hadoop environment.
• Proficient in Big Data, SQL, relational database and NoSQL database for data retrieval and analysis.
• Must have experience with developing Hive QL, UDF's for analyzing semi structured/structured datasets.
• Expertise in Unix/Linux environment in writing scripts and schedule/execute jobs.
• Experience with AWS and other cloud platforms.
• Experience using Git and Eclipse.
• Experience in creating and managing RESTFul API's using Python and Java frameworks.
• Experience in Docker and Kubernetes containerization.
• Hands-on experience ingesting and processing various file formats like Avro/Parquet/Sequence Files/Text Files etc.
• Successful track record of building automation scripts/code using Java, Bash, Python etc. and experience in production support issue resolution process.
PREFERRED SKILLS:
• Machine Learning, Big Data, NLP, Deep Learning, Python, MLLib, PyTorch, TensorFlow, Numpy/Scipy/Pandas, Spark, Hive, Data Science Notebooks, SQL, API, Unix/Linux, AWS
Machine Learning / AI Engineer
Posted 21 days ago
Job Viewed
Job Description
Our client is an innovative leader in AI-driven solutions, leveraging machine learning and advanced analytics to drive business transformation. They are committed to fostering a collaborative and inclusive work environment, empowering employees to push the boundaries of AI technology.
Our client is seeking a Machine Learning / AI Engineer to join their team in Nashville, TN in a hybrid role. This is an exciting opportunity for a skilled engineer to work on cutting-edge AI and machine learning solutions, driving innovation and solving complex problems across various domains. The pay range for this role is $135,000-$170,000 depending on experience.
Machine Learning / AI Engineer Responsibilities:
- Design, develop, and deploy AI/ML models for real-world applications
- Collaborate with cross-functional teams to integrate ML solutions into existing systems
- Perform data preprocessing, feature engineering, and model optimization to enhance performance
- Implement and maintain scalable machine learning pipelines for training and inference
- Conduct rigorous testing and validation of AI models to ensure reliability and accuracy
- Monitor and improve model performance using real-time data and feedback loops
- Stay up to date with the latest advancements in AI, deep learning, and machine learning technologies
- Work with large datasets, leveraging cloud platforms and distributed computing for efficiency
Machine Learning / AI Engineer Requirements:
- 3+ years of experience in AI/ML engineering, data science or related fields
- Strong knowledge of machine learning algorithms, deep learning frameworks (TensorFlow, PyTorch), and statistical modeling
- Proficiency in Python, R, or Julia for AI/ML development
- Experience with cloud platforms such as AWS, Azure, or GCP
- Hands-on experience with MLOps, CI/CD for machine learning, and containerization tools (Docker, Kubernetes)
- Familiarity with natural language processing (NLP), computer vision, or reinforcement learning is a plus
- Strong problem-solving skills and the ability to translate business needs into AI-driven solutions
- Excellent communication skills and the ability to work in a collaborative team environment
- Experience with large-scale data processing frameworks such as Apache Spark
- Background in time-series forecasting, anomaly detection, or predictive analytics
- Previous experience in healthcare, finance, or manufacturing industries is a plus
Machine Learning / AI Engineer Benefits:
- Health, dental, and vision insurance
- 401(k) with company matching
- Flexible hybrid work schedule
- Paid time off and company holidays
- Opportunities for professional growth and development
This is a hybrid role based in Nashville, TN, offering the opportunity to work remotely while also collaborating in-person with a talented team of engineers and data scientists.
If you are interested in this opportunity and meet the qualifications, please apply today!
Thank you,
Abby Meeks
Senior Project Manager
LaSalle Network
LaSalle Network is an Equal Opportunity Employer m/f/d/v.
LaSalle Network is the leading provider of direct hire and temporary staffing services. For over two decades, LaSalle has helped organizations hire faster and connect top talent with opportunities, from entry-level positions to the C-suite. With units specializing in Accounting and Finance, Administrative, Engineering, Marketing, Technology, Supply Chain, Revenue Cycle, Call Center, Human Resources and Executive Search, LaSalle offers staffing and recruiting solutions to companies of all sizes and across all industries.
Machine Learning/AI Engineer
Posted 21 days ago
Job Viewed
Job Description
Location: San Francisco Bay Area (Hybrid - 3 days onsite)
Salary Range: $160,000 - $220,000 DOE
About Us
Our AI-driven platform helps Fortune 500 companies optimize operations, reduce costs, and Client new business opportunities through advanced analytics and machine learning.
Role Overview
We're seeking an experienced Machine Learning/AI Engineer to join our growing AI team. You'll design, develop, and deploy sophisticated machine learning models that form the core of our product offerings. This role offers the opportunity to solve complex problems using the latest ML technologies while working on systems that impact millions of users.
Key Responsibilities
- Design, build, and deploy production-ready machine learning models
- Collaborate with data engineers to develop efficient data pipelines
- Work with product managers to define ML requirements and metrics
- Optimize existing models for improved accuracy and performance
- Stay current with the latest ML research and implement new techniques
- Mentor junior engineers and contribute to team knowledge sharing
- MS or PhD in Computer Science, Machine Learning, or related field
- 3+ years of industry experience building and deploying ML systems
- Strong programming skills in Python and experience with ML frameworks (PyTorch, TensorFlow)
- Experience with large language models and their deployment
- Expertise in data processing, feature engineering, and model evaluation
- Knowledge of cloud platforms (AWS, GCP, or Azure) for ML workflows
- Experience with MLOps and model deployment at scale
- Familiarity with distributed computing frameworks
- Publications in relevant ML conferences or journals
- Experience with vector databases and retrieval-augmented generation
- Contributions to open-source ML projects
- Competitive salary and equity package
- Comprehensive health, dental, and vision coverage
- 401(k) with company match
- Home office stipend
- Learning and development budget
- Regular team offsites and events