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Senior Python Ai Jobs in Virginia (NOW HIRING)

Staffingine LLC

AI Platform Developer

Herndon, VA · On-site

Job Title: Sr. AI Platform Developer Job Location: Herndon, VA Job Type: Contract * Programming Languages: Mastery of Python is essential, with R, Java, and C++ also being highly valuable. * Machine ...

Capital One

Senior Distinguished AI Engineer

Mclean, VA

$124K - $163K/yr

Senior Distinguished AI Engineer At Capital One, we are creating responsible and reliable AI ... At least 10 years of experience programming with Python, Go, Scala, or Java Preferred ...

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Senior Python Ai information

What does a Senior Python AI engineer do?

A Senior Python AI Engineer is responsible for designing, developing, and deploying artificial intelligence solutions using the Python programming language. They work on building machine learning models, data pipelines, and integrating AI systems into applications. These professionals also lead teams, mentor junior engineers, and ensure the scalability and efficiency of AI projects. Their expertise is crucial for translating business needs into technical solutions that leverage the latest advancements in AI.

What are some common challenges faced by senior Python AI engineers when integrating AI models into production systems?

Senior Python AI engineers often encounter challenges such as ensuring the scalability and reliability of AI models in production environments. This includes managing dependencies, handling real-time data processing, and monitoring model performance to prevent issues like data drift. Collaboration with DevOps and data engineering teams is essential to streamline deployment pipelines and maintain system robustness. Additionally, keeping up with evolving AI frameworks and best practices is crucial for long-term project success.

What are the key skills and qualifications needed to thrive as a senior Python AI engineer, and why are they important?

To thrive as a Senior Python AI Engineer, you need deep expertise in Python programming, machine learning algorithms, and a strong foundation in mathematics and data science, often supported by a relevant degree. Familiarity with frameworks like TensorFlow or PyTorch, cloud platforms (AWS, GCP), and experience deploying AI models in production are typically required. Exceptional problem-solving, communication, and project leadership skills set outstanding candidates apart. These capabilities enable the development of robust, scalable AI solutions that drive business value and innovation.

What is the difference between Senior Python Ai vs Data Scientist?

AspectSenior Python AiData Scientist
Required CredentialsBachelor's or higher in CS, AI, or related; experience with Python, AI frameworksBachelor's or higher in CS, Statistics, or related; proficiency in Python, R, SQL
Work EnvironmentAI development teams, R&D labs, tech companiesData analysis teams, research departments, consulting firms
Industry UsageTech, AI startups, research institutionsFinance, healthcare, marketing, tech
Common Search/ComparisonYesYes

While both roles require strong Python skills and familiarity with data analysis, Senior Python Ai focuses more on developing AI models and algorithms, whereas Data Scientists analyze data to generate insights. The Senior Python Ai role emphasizes AI frameworks and machine learning deployment, while Data Scientists often work with statistical analysis and data visualization.

What are the most commonly searched types of Python Ai jobs in Virginia?

The most popular types of Python Ai jobs in Virginia are:

What are popular job titles related to Senior Python Ai jobs in Virginia?

For Senior Python Ai jobs in Virginia, the most frequently searched job titles are:

What job categories do people searching Senior Python Ai jobs in Virginia look for?

The top searched job categories for Senior Python Ai jobs in Virginia are:

What cities in Virginia are hiring for Senior Python Ai jobs?

Cities in Virginia with the most Senior Python Ai job openings:

Senior Python Ai jobs near you

Senior AI/ML Developer/Engineer

Info Gain Consulting

Mclean, VA • On-site

$123K - $163K/yr

Full-time

Posted 22 days ago

Job description

Position summary
IGC is seeking a Senior AI/ML Developer/Engineer to design, build, deploy, and sustain machine-learning models and AI-enabled applications for a prospective federal artificial intelligence engineering program supporting a federal customer. You will move models from concept to production across approved enterprise cloud and technology platforms and collaborate closely with data scientists, software engineers, security personnel, and product teams.
This is a hands-on senior engineering role requiring strong applied machine-learning skills, disciplined engineering practices, and the ability to deliver reliable, secure, accessible, and maintainable solutions in a structured, collaborative government-contractor environment.
Key responsibilities
  • Design and develop machine-learning models, algorithms, and AI-enabled applications.
  • Implement, integrate, optimize, deploy, and sustain AI and machine-learning solutions.
  • Work with data scientists, software engineers, cloud engineers, security personnel, and product teams to move models into production.
  • Analyze large and complex datasets and produce actionable insights.
  • Conduct data preprocessing, feature engineering, statistical analysis, model selection, training, testing, validation, and evaluation.
  • Tune and improve model performance, reliability, accuracy, scalability, and maintainability.
  • Evaluate emerging developments in AI and machine learning and recommend appropriate customer-approved uses.
  • Maintain strong knowledge of machine-learning algorithms, design patterns, evaluation methods, and engineering principles.
  • Create and maintain complete documentation for AI and machine-learning models, datasets, experiments, configurations, assumptions, evaluation results, performance metrics, limitations, decisions, and operating procedures.
  • Work with deep-learning frameworks.
  • Develop using Python and, where applicable, R, JavaScript, or other approved languages.
  • Use Terraform or comparable customer-approved infrastructure-as-code practices.
  • Develop and manage CI/CD pipelines and Git-based source-code management.
  • Integrate logging, monitoring, tracing, metrics, alerting, and other observability capabilities into AI engineering efforts.
  • Develop or integrate generative-AI, large-language-model, RAG, chatbot, document-processing, predictive-modeling, anomaly-detection, forecasting, or workflow-automation solutions.
  • Develop AI-enabled interfaces and outputs that meet applicable Section 508 accessibility requirements, and participate in accessibility validation during applicable development iterations and releases.
  • Support model monitoring, model-drift detection, responsible-AI controls, testing, security, privacy, access control, and production operations.
  • Support onboarding or refactoring of existing AI applications into approved enterprise environments.
  • Contribute to technical standards, reusable patterns, architecture documentation, operating procedures, test plans, and user guidance.
  • Participate in Agile planning, reviews, demonstrations, retrospectives, and production-support activities.

Required qualifications
  • Minimum of five years of relevant professional experience in AI engineering, machine learning, data science, or production software engineering.
  • Demonstrated expertise in current artificial intelligence and machine-learning technologies, emerging techniques, model-development practices, and production AI engineering.
  • Demonstrated experience designing and developing machine-learning models and algorithms.
  • Experience implementing and optimizing AI or ML solutions and integrating models into production systems.
  • Experience analyzing large and complex datasets.
  • Experience developing, evaluating, tuning, and improving model performance and accuracy.
  • Strong knowledge of machine-learning algorithms and principles.
  • Experience documenting models, experiments, processes, and performance metrics.
  • Familiarity with one or more deep-learning frameworks.
  • Strong proficiency in Python, R, JavaScript, or another programming language used for production artificial intelligence and machine-learning development. Python proficiency is strongly preferred.
  • Experience with Terraform or comparable infrastructure-as-code technology.
  • Experience implementing or managing CI/CD pipelines.
  • Experience with Git-based code management, branching, pull requests, reviews, and release controls.
  • Experience integrating observability tools into AI or ML systems.
  • Hands-on experience developing or integrating front-end, back-end, and full-stack application components used to operationalize AI and machine-learning solutions.
  • Knowledge of HTML and CSS and front-end development practices supporting UI and UX, including front-end JavaScript and libraries such as React.
  • Prototyping experience and visual communication skills.
  • Knowledge of Section 508 accessibility requirements and accessible technology delivery.
  • Testing and debugging experience, including familiarity with development tools used to evaluate application performance, usability, and page speed.
  • Experience with DevOps, cloud computing, infrastructure, web development, and software architecture.
  • Ability to work within Agile development and delivery environments and to collaborate with product owners, technical teams, security personnel, data specialists, and federal stakeholders rather than in isolation.
  • Bachelor's or master's degree in computer science, artificial intelligence, machine learning, software engineering, data science, or a closely related technical field.

Preferred qualifications
  • Ten or more years of relevant experience.
  • Master's degree in a relevant technical field.
  • Experience with Azure AI services, Azure Machine Learning, Azure OpenAI, Azure AI Foundry, AWS SageMaker, GCP Vertex AI, or comparable approved cloud AI platforms.
  • Experience developing RAG solutions, chatbots, document intelligence, translation, summarization, predictive analytics, fraud or anomaly detection, or optimization models.
  • Experience with MLOps, model registries, experiment tracking, model monitoring, responsible AI, prompt evaluation, or LLM evaluation.
  • Experience with FedRAMP-authorized cloud or SaaS environments.
  • Federal security, privacy, ATO, CUI, Section 508, or NIST experience.
  • Relevant Azure, AWS, GCP, machine-learning, data-science, security, or DevOps certifications.

Security and employment conditions
  • U.S. citizenship is required.
  • Ability to obtain and maintain a favorably adjudicated federal public-trust suitability determination before entry on duty, unless the customer formally grants temporary eligibility under its applicable procedures.
  • Ability to complete and maintain all required federal training, including security awareness, privacy, unauthorized-disclosure training, controlled unclassified information (CUI), sensitive information and For Official Use Only (FOUO) safeguarding, rules of behavior, operational security (OPSEC), insider threat, and nondisclosure requirements.
  • Ability to comply with applicable federal security, privacy, access-control, acceptable-use, and information-protection requirements.

Work location and schedule
  • This role is primarily remote, with occasional attendance at customer sites in the Washington, DC and Northern Virginia region when required.
  • Standard working hours are generally 8:00 a.m. to 4:30 p.m. Eastern Time, Monday through Friday, excluding federal holidays. Occasional work outside normal hours, including evenings, weekends, or holidays, may be required.

Application instructions
To apply, submit your resume through this posting, including a brief summary of your relevant experience and how it maps to the qualifications above.
Reasonable accommodations are available upon request for candidates who need them to participate in the hiring process.
Equal employment opportunity
IGC is 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, age, disability, protected veteran status, or any other status protected by applicable law.
Employment is contingent upon contract award and completion of all applicable suitability, verification, and customer-approval requirements.

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