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Python Ai Ml Jobs in Virginia (NOW HIRING)

Role : Sr Python AI/ML Engineer Location: Reston, VA (Hybrid) F2F Any Visa Fine Experience: 10 Years Experience Duration : Long term Key Responsibilities 1. Python Development: • Design, develop ...

Job Title: Senior AI/ML/Python Engineer Location: Onsite in Reston, VA - 3 days a week Job Type: Contract Top Skills Details 7-10 years of experience working as a Python/ML Engineer with strong ...

AI/ML Engineer (Python, AWS, GenAI) Location: Reston, VA (In-person interviews required) Candidate Requirement: Local to East Coast only Client is seeking an AI/ML Engineer to design and deliver end ...

Job Title : AI/ML with Python and AWS Location : Reston, VA (Local Only) Duration : Full Time MOI: Video + In-Person - We are looking for an experienced AI/ML with Python and AWS . The ideal ...

Reston VA Core Responsibilities (AI/ML, Python, AWS, GenAI) Design and implement end-to-end AI/ML and Generative AI solutions using Python, including model training, evaluation, optimization, and ...

Reston VA Core Responsibilities (AI/ML, Python, AWS, GenAI) Design and implement end-to-end AI/ML and Generative AI solutions using Python, including model training, evaluation, optimization, and ...

Must Have Skills: * Core Responsibilities (AI/ML, Python, AWS, GenAI) * Design and implement end-to-end AI/ML and Generative AI solutions using Python, including model training, evaluation ...

Python/Gen AI Developer

Reston, VA

$52.25 - $72/hr

ML * Sagemaker * Bedrock Top 3 Soft Skills: * Confidence in Communication skills for Teamwork and sharing * Stand alone to get work done, Independent * Flexibility Experience: 10+ years overall in ...

Gen AI/Python Developer

Reston, VA

$52.25 - $72/hr

ML * Sagemaker * Bedrock Top 3 Soft Skills: * Confidence in Communication skills for Teamwork and sharing * Stand alone to get work done, Independent * Flexibility Experience: 10+ years overall in ...

Python Developer with AI/ML

Reston, VA · On-site

$52.25 - $72/hr

Python Developer with AI/ML Location : Reston, VA (Local Only) Duration : Long Term Contract MOI: Video + In-Person Visa: W2 Consultant Only - We are looking for an experienced Python Developer. The ...

Reston VA - In person interviews so need Local In EAST coast only​ Core Responsibilities (AI/ML, Python, AWS, GenAI) Design and implement end-to-end AI/ML and Generative AI solutions using Python ...

AI/ML ENGINEER Location: Reston,VA Duration: 12+ Months Visa: USC, GC, H1B and EAD Contract Type ... Strong proficiency in Python and ML libraries (e.g., TensorFlow, PyTorch, scikit-learn). * Deep ...

AI/ML Engineer CGI is actively seeking a Senior AI/ML and Emerging Tech Expert to join our Emerging ... React or Angular) and back end services (Python/Flask/Django; Node.js; Java) that integrate AI ...

Strong proficiency in Python and modern AI/ML libraries, frameworks, and API integrations. * Active/current TS/SCI with required polygraph. * Willingness to work onsite full time. * US citizenship ...

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Python Ai Ml information

What are Python AI/ML engineers?

Python AI/ML engineers are professionals who use Python programming language to design, develop, and implement artificial intelligence (AI) and machine learning (ML) algorithms and models. Their work involves analyzing data, building predictive models, and deploying machine learning solutions to solve real-world problems. They are skilled in libraries such as TensorFlow, PyTorch, and Scikit-learn, and often collaborate with data scientists and software engineers. These engineers play a key role in transforming data into actionable insights and AI-powered applications.

What are the key skills and qualifications needed to thrive as a Python AI/ML Engineer, and why are they important?

To thrive as a Python AI/ML Engineer, you need strong proficiency in Python programming, a solid background in mathematics and statistics, and a degree in computer science or a related field. Familiarity with machine learning frameworks (such as TensorFlow, PyTorch, or scikit-learn), version control systems, and cloud platforms is typically required, along with relevant certifications being advantageous. Analytical thinking, problem-solving, and effective communication are essential soft skills that help translate business needs into technical solutions. These skills ensure the development of accurate, scalable, and efficient AI/ML models that deliver value to organizations.

How does a Python AI/ML professional typically collaborate with data engineers and domain experts during a project?

Python AI/ML professionals frequently work closely with data engineers to ensure data pipelines are robust, clean, and optimized for modeling. They also collaborate with domain experts to understand business needs, refine problem statements, and interpret results in the context of real-world applications. Effective communication and regular meetings are essential, as these collaborations help bridge technical and business perspectives, ensuring that machine learning solutions are both technically sound and aligned with organizational goals.
What cities in Virginia are hiring for Python Ai Ml jobs? Cities in Virginia with the most Python Ai Ml job openings:
Infographic showing various Python Ai Ml job openings in Virginia as of June 2026, with employment types broken down into 67% Part Time, and 33% Contract. Highlights an 100% In-person job distribution.

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Posted 24 days ago


Job description

Role : Sr Python AI/ML Engineer
Location: Reston, VA (Hybrid) F2F
Any Visa Fine
Experience: 10 Years Experience
Duration : Long term
Job Description
Key Responsibilities
1. Python Development:
• Design, develop, and maintain Python-based applications and tools.
• Write clean, efficient, and reusable code while adhering to best practices.
• Integrate third-party APIs and libraries as needed.
• Perform code reviews, testing, debugging, and optimization.
2. Generative AI Development:
• Develop and fine-tune generative AI models using frameworks like TensorFlow, PyTorch, or Hugging Face.
• Implement machine learning algorithms and deploy AI-powered solutions for specific business requirements.
• Research and experiment with state-of-the-art generative AI techniques (e.g., GPT, Stable Diffusion, Transformers).
• Build custom AI models and pipelines to address domain-specific challenges.
3. Collaboration:
• Work closely with data scientists, engineers, and stakeholders to understand project requirements and deliver solutions.
• Collaborate with UI/UX teams to integrate AI models into applications.
• Participate in Agile workflows, including daily stand-ups, sprint planning, and retrospectives.
4. Deployment & Maintenance:
• Deploy AI solutions on cloud platforms like AWS, Azure, or Google Cloud.
• Monitor system performance and optimize scalability and reliability.
• Troubleshoot issues in production and implement fixes.
5. Documentation:
• Create comprehensive documentation for AI models, tools, and code.
• Provide guidelines for users and teams for seamless integration and usage.
6. L3 Support:
• Investigate, diagnose, and resolve advanced issues related to GenAI solutions, Python applications, and AWS infrastructure.
• Provide root cause analysis (RCA) for production incidents and ensure quick turnaround for issue resolution.
• Collaborate with L1/L2 teams and developers to troubleshoot and resolve complex problems.
• Development and Automation:
• Develop, test, and deploy Python-based scripts, applications, and workflows.
• Automate routine tasks and implement monitoring tools to ensure system reliability.
• AWS Cloud Management:
• Design, implement, and maintain cloud-native solutions on AWS (e.g., Lambda, S3, EC2, SageMaker,EMR,Redshift etc.).
• Optimize AWS services for cost efficiency and performance.
Technical Skills:
• Strong proficiency in Python programming and frameworks (e.g., Flask, FastAPI, Django).
• Hands-on experience with AWS services (e.g., Lambda, S3, EC2, IAM, CloudFormation).
• Experience with GenAI tools (e.g., OpenAI, Hugging Face, or custom LLMs).
• Knowledge of DevOps tools like Docker, Kubernetes, and CI/CD pipelines.
• Familiarity with RESTful APIs and integration of AI/ML solutions.
• Strong debugging and problem-solving skills in production environments.
• Soft Skills:
• Excellent communication and collaboration skills.