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Python Ai Ml Jobs (NOW HIRING)

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 ...

Support the integration of AI/ML models and data pipelines into enterprise applications * Design ... using Python * Foundational experience or strong interest in AI/ML concepts, models, or data ...

New

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 ...

Sr AI Developer

Irving, TX · On-site

$112K - $151K/yr

Python * AI/ML Engineering * Generative AI / LLMs * PyTorch / TensorFlow / Scikit-learn * LangChain / OpenAI APIs / Hugging Face * MLOps & CI/CD * Azure, AWS, or GCP * RAG Architectures & AI Agents

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 ...

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How much do python ai ml jobs pay per hour?

As of Jul 2, 2026, the average hourly pay for python ai ml in the United States is $58.62, according to ZipRecruiter salary data. Most workers in this role earn between $48.32 and $66.59 per hour, depending on experience, location, and employer.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-paying position in artificial intelligence, machine learning, or data science, often involving advanced skills in programming, deep learning, and data analysis. Such roles are usually found in senior or executive levels, require extensive experience, and may include responsibilities like leading AI projects or developing innovative solutions.

Is Python good for AI ML?

Python is widely regarded as an excellent programming language for AI and machine learning roles due to its simplicity, extensive libraries like TensorFlow and scikit-learn, and strong community support. It is commonly used by AI/ML professionals for developing models, data analysis, and automation tasks, making it a valuable skill for such jobs.

Which 3 jobs will survive AI?

For a Python AI ML professional, roles such as data scientist, machine learning engineer, and AI researcher are likely to persist due to their reliance on complex problem-solving, domain expertise, and ongoing innovation. These jobs require advanced analytical skills, programming proficiency, and understanding of AI frameworks, making them less susceptible to automation. Continuous learning and staying updated with new tools and techniques are essential for long-term career resilience in this field.

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.

What is the salary of Python AI ML?

The salary for Python AI ML roles varies depending on experience, location, and industry, but typically ranges from $80,000 to $150,000 annually. Entry-level positions may start lower, while experienced professionals with skills in machine learning, deep learning, and data analysis can earn higher salaries, especially in tech hubs or companies requiring advanced expertise.

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.
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Senior AI/ML/Python Engineer

Nastech Global

Reston, VA • On-site

Contractor

Posted 4 days ago


Job description

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 Python, SQL, and AWS
LLMs - RAG, AWS Bedrock, standard AWS services
 
Experience:
• 8+ years overall in Software Engineering disciplines, preferably in the financial services industry
• 2-3 years of experience in AI/ML engineering roles
• Strong programming skills in Python, SQL and experience with AWS.
 
Required Qualifications:
• 2–3 years of experience in data analysis or machine learning roles.
• Proficiency in Python and SQL for data manipulation and analysis.
• Hands-on experience with major AWS services, particularly SageMaker, S3, Redshift, and Lambda.
• Experience working with LLMs (Anthropic Claude, Sonnet) and prompt engineering techniques.
• Strong understanding of financial data, KPIs, and reporting standards.
• Excellent communication and collaboration skills.
 
Thank and Regards
Gopi M
202.828.3493
Gopi@NasTechglobal.com