10,838 AI Ml Specialist jobs in the United States

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 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

Preferred Technical Skills

• 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

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 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

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 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.

Overview of 66degrees

66degrees is an end-to-end AI transformation partner that guides enterprises from complex business challenges to clear, quantifiable outcomes. Our company is the culmination of several successful firms, each a leader in its own right in cloud, artificial intelligence, and data. This convergence of talent and expertise is how we help businesses reach their own "inflection point," where chaotic data becomes a strategic asset, complexity becomes clarity, and AI becomes an engine for growth. Our ultimate vision is to be the catalyst for a future where every business operates as an intelligent enterprise, with autonomous systems unlocking human potential.

At 66degrees, we believe in embracing the challenge and winning together. These values not only guide us in achieving our goals as a company but also for our people. We are dedicated to creating a significant impact for our employees by fostering a culture that sparks innovation and supports professional and personal growth along the way.
Role Overview

The Gradient Specialist program is our differentiator training program that focuses on preparing recent graduates for their careers in technology consulting. Learning from our very own Google Cloud Certified experts, we nurture your talent and accelerate your learning through structured training, hands-on building, and mentorship.

Completing this program means you are a GCP Certified 66degrees Specialist prepared for your career at 66degrees guiding enterprises through the age of AI by transforming their data into intelligent solutions that drive real business impact and empower their people to shape the future of work. Are you ready to become our next GCP expert?

This exciting opportunity is based out of our Downtown Chicago office.
Responsibilities

A Gradient Specialist's responsibilities and duties are as follows:

• Complete the Gradient Development Program training.
• Pursue and obtain Google Cloud Platform Certifications based on your matched career track.

• Work with technical and business leads to transfer global business requirements into sound solutions.

Qualifications

• Graduated a Bachelor's or Master's Degree in Computer Science, Statistics, Data Science or similar, in Spring 2026.
• Programming or scripting experience in any language, Python preferred.
• Experience with AI/ML, Data Analytics, or Data Science.
• Strong interpersonal, verbal, and written communication skills.
• Ability to use analytical skills to solve complex problems.
• Strong organizational skills including the ability to prioritize, handle multiple projects simultaneously, and meet deadlines.
• Self-motivated and able to work independently or as part of a team.
• Ability to commit to our Gradient Specialist Program and the technical career that follows.

66degrees is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to actual or perceived race, color, religion, sex, gender, gender identity, national origin, age, weight, height, marital status, sexual orientation, veteran status, disability status or other legally protected class.

Overview

SR. DATA SCIENTIST - AI/ML & LLM (AR/PA IT)

Bowhead seeks a Sr. Data Scientist - AI/ML & LLM Specialist to join our team supporting the AR/PA IT Program at Naval Surface Warfare Center - Corona in Corona, California. The Sr. Data Scientist - AI/ML & LLM Specialist will work directly with the client analyzing complex and unique technical support assignments and lead or collaborate with engineers, cybersecurity personnel, and program analysts within an agile environment. They will report to the Program Manager of the Task Order. They will consider overall project design including cost, and schedule that may be associated with a project.

Responsibilities

• Hands-on experience fine-tuning and applying Large Language Models (LLMs) such as GPT, LLaMA, or Claude for NLP and generative tasks
• Strong programming skills in Python; experience with ML frameworks such as PyTorch, TensorFlow, or Scikit-learn
• Proven experience with data analytics, feature engineering, and building end-to-end ML pipelines
• Familiarity with vector databases and retrieval-augmented generation (RAG) pipelines
• Experience integrating AI/ML models into secure or cloud-hosted environments (AWS, Azure, etc.)
• Knowledge of RMF, STIGs, and DoD cybersecurity compliance practices
• Conduct research to identify and assess new technology solutions for automating existing reporting processes.
• Collaborate with cross-functional teams to design hardware and software architectures and system hosting strategies.
• Lead the development of interfaces and software code to efficiently retrieve, modify, and update data.
• Support the research and development of artificial intelligence/machine learning methods for advanced data analysis.

Qualifications

• Active DoD Security Clearance (Secret or higher required)
• Five (5+) years of experience developing and deploying AI/ML models in enterprise or government environments
• Must hold CompTIA Security+ (CE) certification
• Strong problem-solving skills and the ability to innovate and implement creative solutions.
• Excellent communication skills to collaborate effectively with cross-functional teams.
• Attention to detail and a commitment to producing high-quality results.
• Ability to provide clear and comprehensive technical documentation.
• Proven experience in providing training and knowledge transfer to team members.

Physical Demands:

• Must be able to lift up to 25 pounds
• Must be able to stand and walk for prolonged amounts of time
• Must be able to twist, bend and squat periodically

SECURITY CLEARANCE REQUIREMENTS: Must currently hold a security clearance at the Secret level. US Citizenship is a requirement for Secret clearance at this location.

#LI-KC1

Overview

SR. DATA SCIENTIST - AI/ML & LLM (AR/PA IT)

Bowhead seeks a Sr. Data Scientist - AI/ML & LLM Specialist to join our team supporting the AR/PA IT Program at Naval Surface Warfare Center - Corona in Corona, California. The Sr. Data Scientist - AI/ML & LLM Specialist will work directly with the client analyzing complex and unique technical support assignments and lead or collaborate with engineers, cybersecurity personnel, and program analysts within an agile environment. They will report to the Program Manager of the Task Order. They will consider overall project design including cost, and schedule that may be associated with a project.

Responsibilities

• Hands-on experience fine-tuning and applying Large Language Models (LLMs) such as GPT, LLaMA, or Claude for NLP and generative tasks
• Strong programming skills in Python; experience with ML frameworks such as PyTorch, TensorFlow, or Scikit-learn
• Proven experience with data analytics, feature engineering, and building end-to-end ML pipelines
• Familiarity with vector databases and retrieval-augmented generation (RAG) pipelines
• Experience integrating AI/ML models into secure or cloud-hosted environments (AWS, Azure, etc.)
• Knowledge of RMF, STIGs, and DoD cybersecurity compliance practices
• Conduct research to identify and assess new technology solutions for automating existing reporting processes.
• Collaborate with cross-functional teams to design hardware and software architectures and system hosting strategies.
• Lead the development of interfaces and software code to efficiently retrieve, modify, and update data.
• Support the research and development of artificial intelligence/machine learning methods for advanced data analysis.

Qualifications

• Active DoD Security Clearance (Secret or higher required)
• Five (5+) years of experience developing and deploying AI/ML models in enterprise or government environments
• Must hold CompTIA Security+ (CE) certification
• Strong problem-solving skills and the ability to innovate and implement creative solutions.
• Excellent communication skills to collaborate effectively with cross-functional teams.
• Attention to detail and a commitment to producing high-quality results.
• Ability to provide clear and comprehensive technical documentation.
• Proven experience in providing training and knowledge transfer to team members.

Physical Demands:

• Must be able to lift up to 25 pounds
• Must be able to stand and walk for prolonged amounts of time
• Must be able to twist, bend and squat periodically

SECURITY CLEARANCE REQUIREMENTS: Must currently hold a security clearance at the Secret level. US Citizenship is a requirement for Secret clearance at this location.

#LI-KC1

Overview

SR. DATA SCIENTIST - AI/ML & LLM (AR/PA IT)

Bowhead seeks a Sr. Data Scientist - AI/ML & LLM Specialist to join our team supporting the AR/PA IT Program at Naval Surface Warfare Center - Corona in Corona, California. The Sr. Data Scientist - AI/ML & LLM Specialist will work directly with the client analyzing complex and unique technical support assignments and lead or collaborate with engineers, cybersecurity personnel, and program analysts within an agile environment. They will report to the Program Manager of the Task Order. They will consider overall project design including cost, and schedule that may be associated with a project.

Responsibilities

• Hands-on experience fine-tuning and applying Large Language Models (LLMs) such as GPT, LLaMA, or Claude for NLP and generative tasks

• Strong programming skills in Python; experience with ML frameworks such as PyTorch, TensorFlow, or Scikit-learn

• Proven experience with data analytics, feature engineering, and building end-to-end ML pipelines

• Familiarity with vector databases and retrieval-augmented generation (RAG) pipelines

• Experience integrating AI/ML models into secure or cloud-hosted environments (AWS, Azure, etc.)

• Knowledge of RMF, STIGs, and DoD cybersecurity compliance practices

• Conduct research to identify and assess new technology solutions for automating existing reporting processes.

• Collaborate with cross-functional teams to design hardware and software architectures and system hosting strategies.

• Lead the development of interfaces and software code to efficiently retrieve, modify, and update data.

• Support the research and development of artificial intelligence/machine learning methods for advanced data analysis.

Qualifications

• Active DoD Security Clearance (Secret or higher required)

• Five (5+) years of experience developing and deploying AI/ML models in enterprise or government environments

• Must hold CompTIA Security+ (CE) certification

• Strong problem-solving skills and the ability to innovate and implement creative solutions.

• Excellent communication skills to collaborate effectively with cross-functional teams.

• Attention to detail and a commitment to producing high-quality results.

• Ability to provide clear and comprehensive technical documentation.

• Proven experience in providing training and knowledge transfer to team members.

Physical Demands:

• Must be able to lift up to 25 pounds

• Must be able to stand and walk for prolonged amounts of time

• Must be able to twist, bend and squat periodically

SECURITY CLEARANCE REQUIREMENTS: Must currently hold a security clearance at the Secret level. US Citizenship is a requirement for Secret clearance at this location.

#LI-KC1

Applicants may be subject to a pre-employment drug & alcohol screening and/or random drug screen, and must follow UIC's Non-DOT Drug & Alcohol Testing Program requirements. If the position requires, an applicant must pass a pre-employment criminal background history check. All post-secondary education listed on the applicant's resume/application may be subject to verification.

Where driving may be required or where a rental car must be obtained for business travel purposes, applicants must have a valid driver license for this position and will be subject to verification. In addition, the applicant must pass an in-house, online, driving course to be authorized to drive for company purposes.

UIC is an equal opportunity employer. We evaluate qualified applicants without regard to race, age, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, and other protected characteristics EOE/D/V. In furtherance, pursuant to The Alaska Native Claims Settlement Act 43 U.S.C. Sec. 1601 et seq., and federal contractual requirements, UIC and its subsidiaries may legally grant certain preference in employment opportunities to UIC Shareholders and their Descendants, based on the provisions contained within The Alaska Native Claims Settlement Act. Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities.

All candidates must apply online at and submit a completed application for all positions they wish to be considered. Once the employment application has been completed and submitted, any changes to the application after submission may not be reviewed. Please contact a UIC HR Recruiter if you have made a significant change to your application. In accordance with the Americans with Disabilities Act of 1990 (ADA), persons unable to complete an online application should contact UIC Human Resources for assistance (

The contractor will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor's legal duty to furnish information. 41 CFR 60-1.35(c)

UIC Government Services (UICGS / Bowhead) provides innovative business solutions to federal and commercial customers in the areas of engineering, maintenance services, information technology, program support, logistics/base support, and procurement. Collectively, the fast-growing Bowhead Family of Companies offers a breadth of services which are performed with a focus on quality results. Headquartered in Springfield, VA, we are a fast-growing, multi-million-dollar company recognized as a top Alaska Native Corporation providing services across the Department of Defense and many federal agencies. Bowhead offers competitive benefits including medical, dental, vision, life insurance, accidental death and dismemberment, short/long-term disability, and 401(k) retirement plans as well as a paid time off programs for eligible full-time employees. Eligible part-time employees are able to participate in the 401(k) retirement plans and state or contract required paid time off programs.

Join our Talent Community!

Join our Talent Community ( to receive updates on new opportunities and future events.

ID

Category Information Technology

Location : Location US-CA-Corona

Min USD $135,000.00/Yr.

Max USD $175,000.00/Yr.

Minimum Clearance Required Secret

Travel Requirement Less than 10%

**Overview**
SR. DATA SCIENTIST - AI/ML & LLM (AR/PA IT)
Bowhead seeks a Sr. Data Scientist - AI/ML & LLM Specialist to join our team supporting the AR/PA IT Program at Naval Surface Warfare Center - Corona in Corona, California. The Sr. Data Scientist - AI/ML & LLM Specialist will work directly with the client analyzing complex and unique technical support assignments and lead or collaborate with engineers, cybersecurity personnel, and program analysts within an agile environment. They will report to the Program Manager of the Task Order. They will consider overall project design including cost, and schedule that may be associated with a project.
**Responsibilities**
+ Hands-on experience fine-tuning and applying Large Language Models (LLMs) such as GPT, LLaMA, or Claude for NLP and generative tasks
+ Strong programming skills in Python; experience with ML frameworks such as PyTorch, TensorFlow, or Scikit-learn
+ Proven experience with data analytics, feature engineering, and building end-to-end ML pipelines
+ Familiarity with vector databases and retrieval-augmented generation (RAG) pipelines
+ Experience integrating AI/ML models into secure or cloud-hosted environments (AWS, Azure, etc.)
+ Knowledge of RMF, STIGs, and DoD cybersecurity compliance practices
+ Conduct research to identify and assess new technology solutions for automating existing reporting processes.
+ Collaborate with cross-functional teams to design hardware and software architectures and system hosting strategies.
+ Lead the development of interfaces and software code to efficiently retrieve, modify, and update data.
+ Support the research and development of artificial intelligence/machine learning methods for advanced data analysis.
**Qualifications**
+ Active DoD Security Clearance (Secret or higher required)
+ Five (5+) years of experience developing and deploying AI/ML models in enterprise or government environments
+ Must hold CompTIA Security+ (CE) certification
+ Strong problem-solving skills and the ability to innovate and implement creative solutions.
+ Excellent communication skills to collaborate effectively with cross-functional teams.
+ Attention to detail and a commitment to producing high-quality results.
+ Ability to provide clear and comprehensive technical documentation.
+ Proven experience in providing training and knowledge transfer to team members.
Physical Demands:
+ Must be able to lift up to 25 pounds
+ Must be able to stand and walk for prolonged amounts of time
+ Must be able to twist, bend and squat periodically
SECURITY CLEARANCE REQUIREMENTS: Must currently hold a security clearance at the Secret level. US Citizenship is a requirement for Secret clearance at this location.
#LI-KC1
Applicants may be subject to a pre-employment drug & alcohol screening and/or random drug screen, and must follow UIC's Non-DOT Drug & Alcohol Testing Program requirements. If the position requires, an applicant must pass a pre-employment criminal background history check. All post-secondary education listed on the applicant's resume/application may be subject to verification.
Where driving may be required or where a rental car must be obtained for business travel purposes, applicants must have a valid driver license for this position and will be subject to verification. In addition, the applicant must pass an in-house, online, driving course to be authorized to drive for company purposes.
UIC is an equal opportunity employer. We evaluate qualified applicants without regard to race, age, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, and other protected characteristics EOE/D/V. In furtherance, pursuant to The Alaska Native Claims Settlement Act 43 U.S.C. Sec. 1601 et seq., and federal contractual requirements, UIC and its subsidiaries may legally grant certain preference in employment opportunities to UIC Shareholders and their Descendants, based on the provisions contained within The Alaska Native Claims Settlement Act. Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities.
All candidates must apply online at and submit a completed application for all positions they wish to be considered. Once the employment application has been completed and submitted, any changes to the application after submission may not be reviewed. Please contact a UIC HR Recruiter if you have made a significant change to your application. In accordance with the Americans with Disabilities Act of 1990 (ADA), persons unable to complete an online application should contact UIC Human Resources for assistance ( contractor will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor's legal duty to furnish information. 41 CFR 60-1.35(c)
UIC Government Services (UICGS / Bowhead) provides innovative business solutions to federal and commercial customers in the areas of engineering, maintenance services, information technology, program support, logistics/base support, and procurement. Collectively, the fast-growing Bowhead Family of Companies offers a breadth of services which are performed with a focus on quality results. Headquartered in Springfield, VA, we are a fast-growing, multi-million-dollar company recognized as a top Alaska Native Corporation providing services across the Department of Defense and many federal agencies. Bowhead offers competitive benefits including medical, dental, vision, life insurance, accidental death and dismemberment, short/long-term disability, and 401(k) retirement plans as well as a paid time off programs for eligible full-time employees. Eligible part-time employees are able to participate in the 401(k) retirement plans and state or contract required paid time off programs.
**Join our Talent Community!**
Join our Talent Community ( to receive updates on new opportunities and future events.
**ID** _ _
**Category** _Information Technology_
**Location : Location** _US-CA-Corona_
**Min** _USD $135,000.00/Yr._
**Max** _USD $175,000.00/Yr._
**Minimum Clearance Required** _Secret_
**Travel Requirement** _Less than 10%_

Must Haves-

1. Strong project experience in Big Data platform with Amazon Web Services and Cloudera Data Platform is must.
2. Strong experience with REST API development using Python frameworks (Django, Flask etc.) is must.
3. Micro Services/Web service development experience using Spring framework is must.
4. 4-5 years of programming experience in AWS, Linux and Data Science notebooks is must.
5. Good project experience in Machine Learning, Big Data, NLP, Deep Learning, RDBMS is must.
6. 4-5 experience building data pipelines using Python, MLLib, PyTorch, TensorFlow, Numpy/Scipy/Pandas, Spark, Hive

TECHNICAL KNOWLEDGE AND SKILLS:
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

Our client is seeking an innovative AI/ML Engineer with a specialization in Deep Learning to join their cutting-edge, fully remote team. This role is pivotal in developing and deploying advanced machine learning models that drive innovation across our product portfolio. You will work with large datasets, implement state-of-the-art deep learning architectures, and contribute to the entire ML lifecycle, from research and development to production deployment. This is a fantastic opportunity for a passionate AI professional to make a significant impact in a remote-first environment.

Responsibilities:

• Design, develop, and implement deep learning models for various applications, including computer vision, natural language processing, and predictive analytics.
• Utilize deep learning frameworks such as TensorFlow, PyTorch, and Keras to build and train complex neural networks.
• Process and analyze large-scale datasets, performing feature engineering and data augmentation.
• Optimize model performance, scalability, and efficiency for deployment in production environments.
• Collaborate with data scientists and software engineers to integrate ML models into existing systems and products.
• Conduct thorough testing and validation of ML models to ensure accuracy and reliability.
• Stay abreast of the latest research and advancements in AI and deep learning.
• Contribute to the development of MLOps practices and tools for efficient model deployment and monitoring.
• Document model architectures, training procedures, and experimental results.
• Participate in code reviews and contribute to a culture of technical excellence.

Qualifications:

• Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
• 2-4 years of hands-on experience developing and deploying deep learning models in a professional setting.
• Strong proficiency in Python and experience with deep learning libraries (TensorFlow, PyTorch).
• Solid understanding of machine learning algorithms, statistical modeling, and data mining techniques.
• Experience with MLOps principles and tools (e.g., MLflow, Kubeflow) is a plus.
• Familiarity with cloud platforms (AWS, Azure, GCP) and associated ML services.
• Excellent problem-solving, analytical, and critical thinking skills.
• Strong communication and collaboration skills, capable of working effectively in a remote team.
• Ability to manage projects independently and deliver high-quality results.
• Experience with big data technologies (e.g., Spark, Hadoop) is beneficial.

This fully remote position, with its roots in Huntsville, Alabama, US , offers a unique chance to work on impactful AI projects and shape the future of technology. We are looking for talented individuals who are eager to innovate and excel in a distributed team.

Senior Machine Learning / AI Engineer

Location: Remote

Company: Amniscient
Technology: Machine Learning, Computer Vision, AI

Position Overview

We are seeking a highly skilled and motivated Computer Vision/Machine Learning/AI Engineer to join our dynamic team. The successful candidate will develop state-of-the-art computer vision models and machine learning algorithms to solve challenging problems. The role involves working with large datasets, developing AI-powered solutions, and deploying models in real-world applications.

Key Responsibilities:

• Develop and implement computer vision algorithms: Design and implement computer vision algorithms for object detection, image segmentation, facial recognition, etc.
• Model training and optimization: Build and train machine learning models (e.g., neural networks, deep learning models) using frameworks like TensorFlow, PyTorch, or OpenCV.
• Data acquisition and preprocessing: Collect and preprocess large datasets for training and testing purposes, ensuring quality and scalability.
• Deploy models: Deploy AI/ML models into production environments, optimizing them for performance and scalability.
• Collaborate with cross-functional teams: Work with software developers, data scientists, and product managers to integrate AI capabilities into products.
• Stay updated on AI trends: Continuously research and stay updated on the latest advancements in computer vision, AI, and machine learning technologies.
• Documentation: Create detailed documentation of methodologies, code, and models for internal use and external presentations.
• Technical Requirements: Collect technical requirements from R&D regarding upcoming new capabilities and write documentation & stories for the platform team to consume.
• Lead & Mentor: Mentor other ML engineers & foster a team culture of growth & accountability.
• Functional Testing & Use Case Testing: Lead testing efforts to evaluate how our models perform in real-world scenarios & lead the team in implementing POCs and tests for new use cases for our ML technology.
• Platform Troubleshooting: Lead debugging & troubleshooting of ML related platform elements (including when customers report issues with their models).
• Knowledge of GPU usage and optimization for ML / AI functions

Qualifications

Education:

• Master's degree or higher in Computer Science, Data Science, Electrical Engineering, or related fields.

Experience:

• 5-8 years of experience in AI/ML and computer vision.
• Proven experience working on real-world computer vision problems.

Technical Skills:

• Proficiency in Python.
• Strong knowledge of machine learning frameworks (e.g., TensorFlow, PyTorch, Keras).
• Experience with OpenCV, Scikit-learn, and other computer vision libraries.
• Familiarity with deep learning architectures (e.g., CNNs, RNNs, GANs).
  • Experience with cloud platforms (AWS, Google Cloud, or Azure) for deploying models.
    • Strong understanding of algorithm optimization, data structures, and programming principles.
  • Excellent problem-solving skills and the ability to think creatively.
  • Strong communication skills to work within a team and convey technical concepts.
  • Ability to manage multiple tasks, conflicting priorities, and projects simultaneously.
  • Strong grasp of computer science fundamentals.

Preferred Skills:

• Familiarity with edge computing, scaling computer vision model builds, and IoT integrations.
• Prior experience in deploying models on mobile or embedded systems.
• Knowledge of Vision language models and agentic AI is a plus.

What We Offer

• Opportunity to make a significant impact in a rapidly growing innovative industry.
• Collaborative and forward-thinking team culture.
• Competitive compensation package with robust benefits offering.

Our Core Values

At the heart of our company culture are the core values that guide everything we do-from how we work together to how we serve our customers. These values are more than just words; they are the principles that shape our decisions, define our relationships, and drive our success. We seek individuals who not only align with these values but are also inspired to contribute to a purpose-driven, inclusive, and growth-oriented environment.

Pursue Excellence Relentlessly: We strive for the highest standards in everything we do, never settling for mediocrity

Own the Outcome: We responsibility from start to finish. We don't just complete tasks-we deliver results.

Proactively Seek Solutions: Innovation starts with initiative. We anticipate, innovate, and act.

Collaborate to Win: Teamwork fuels success. We share knowledge, support each other, and win together.

Adapt with Purpose: Change is constant; We move forward intentionally, not reactively.