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Senior Python Ai Jobs in Virginia (NOW HIRING)

Kasmo Global

Sr Python AI/ML Engineer

Reston, VA

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 ...

Fynbosys Inc

Python Developer with AI

Mclean, VA

$51.50 - $71/hr

Hi Role : Sr. Python Candidate with Strong AI Location : McLean, VA. Need only locals 12+ Months Face to Face Interviews Candidates must be local or neighbouring to McLean, VA Required Skills: Very ...

New

WorkNova LLC

Python Developer

Reston, VA · On-site

$52.25 - $72/hr

Position Summary The Senior Python Developer will design, develop, test, and implement cloud native ... AI assisted development tools • Use AI tools responsibly to: o Accelerate development while ...

Nastech Global

Senior AI/ML/Python Engineer

Reston, VA · On-site

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 ...

Berkley

Intern

Glen Allen, VA · On-site +1

$14 - $18.50/hr

This role is ideal for a college senior or MBA candidate with a strong technical foundation and interest in applying emerging technologies (Python, AI, and Microsoft Power Platform) to real-world ...

ECS

Senior AI Engineer

Falls Church, VA · On-site

$111K - $153K/yr

Everforth ECS is seeking a Senior AI Engineer to work in the National Capital Region covering the ... using platforms such as Python, PyTorch, TensorFlow, SageMaker, Amazon Comprehend, and ...

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All JobsSenior Python Ai JobsSenior Python Ai Jobs in Virginia

Senior Python Ai information

Will AI replace Python coders?

AI tools can automate certain coding tasks, but Senior Python AI developers are essential for designing, implementing, and maintaining complex AI systems. Human expertise remains crucial for problem-solving, creativity, and overseeing AI development processes. AI is more likely to augment Python programmers' work than fully replace them.

Which 3 jobs will survive AI?

Senior Python AI roles are likely to persist because they involve complex problem-solving, creativity, and oversight of AI systems. Jobs that require advanced technical skills, such as data scientists, AI engineers, and machine learning specialists, are expected to remain in demand due to their specialized knowledge and continuous learning requirements.

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 is a $900,000 AI job?

A $900,000 AI job typically refers to high-level roles in artificial intelligence, such as senior AI engineers or machine learning executives, often involving advanced skills in Python, deep learning, and data science. These positions usually require extensive experience, leadership abilities, and may include stock options or bonuses that contribute to the total compensation. Such roles are rare and generally found in large tech companies or AI-focused organizations with significant responsibilities.

How much do Python AI developers make?

Python AI developers typically earn between $80,000 and $150,000 annually, depending on experience, location, and industry. Senior roles with advanced skills in machine learning, deep learning, and frameworks like TensorFlow or PyTorch tend to command higher salaries.

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 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 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 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

Sr Python AI/ML Engineer

Kasmo Global

Reston, VA

Other

Posted yesterday

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.

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