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Python Ai Ml Jobs in Raleigh, NC (NOW HIRING)

Ccube

AI & ML Tech Lead/Architect

Durham, NC · On-site

$150K - $225K/yr

We are seeking a highly skilled AI/ML Leader with a strong foundation in Python and microservices architecture, who can bridge the gap between traditional backend systems and modern AI/ML platforms.

CCube Solutions

AI & ML Tech Lead/Architect

Raleigh, NC · On-site

$150K - $225K/yr

We are seeking a highly skilled AI/ML Leader with a strong foundation in Python and microservices architecture, who can bridge the gap between traditional backend systems and modern AI/ML platforms.

Jaggaer

Architect, Data AI

Durham, NC

$61.50 - $79.25/hr

Partner with business, product, and engineering leaders to translate procurement and supply chain problems into measurable AI/ML solutions. Write efficient, modular, and maintainable Python code for ...

Jaggaer

Architect, Data AI

Durham, NC · On-site

$61.50 - $79.25/hr

... AI/ML solutions. • Write efficient, modular, and maintainable Python code for modeling, data processing, and deployment. • Use advanced SQL for querying, transforming, and analyzing large ...

Jaggaer

Architect, Data AI

Durham, NC · On-site

$61.50 - $79.25/hr

... AI/ML solutions. • Write efficient, modular, and maintainable Python code for modeling, data processing, and deployment. • Use advanced SQL for querying, transforming, and analyzing large ...

Infosys

AI ML Engineer with LLM & AWS Integration

Raleigh, NC · On-site

$101K - $136K/yr

The AI ML Engineer will contribute to the requirements elicitation process, facilitate software ... Preferred : • Experience in Python and ML libraries (e.g., TensorFlow, PyTorch, scikit-learn ...

ARA

Senior Research Engineer - AI/ML

Raleigh, NC · On-site

$181K/yr

Strong foundation in software development and experience with Python, Java, and/or C++ * Experience ... Engineer - AI/ML Preferences: Above all, we value passion, a continuous desire to learn, and ...

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Python Ai Ml information

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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 Raleigh, NC is $56.98, according to ZipRecruiter salary data. Most workers in this role earn between $46.97 and $64.71 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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Python Ai Ml jobs near you

AI & ML Tech Lead/Architect

Ccube

Durham, NC • On-site

$150K - $225K/yr

Full-time

Posted 7 days ago

Job description

Position:- AI & ML Tech Lead
Location: Raleigh, NC (Hybrid)
Job Type: Full Time/W2 Only
Exp Level- 8-15 Years
Required Skills- Claude, Vibe Coding, Data Scientist, MCP (Model Context Protocol), Agentic AI, LLM understanding, RAG. Architecture end to end, built systems.
We are seeking a highly skilled AI/ML Leader with a strong foundation in Python and microservices architecture, who can bridge the gap between traditional backend systems and modern AI/ML platforms. The ideal candidate will have experience or a strong interest in LLM-based frameworks (e.g., LangChain, Agentic AI), and be capable of designing scalable, intelligent solutions that integrate with major AI platforms.
Key Responsibilities:
Architect and design scalable, secure, and high-performance microservices using Python.
Collaborate with AI/ML teams to integrate LLM-based tools and frameworks into enterprise applications.
Understand and work with MCP (Model Context Protoco), A2A (Agent-to-Agent) communication, and LLM orchestration frameworks like LangChain and Agentic AI.
Evaluate and recommend AI platforms and tools for enterprise use cases.
Translate business requirements into technical solutions that leverage both traditional and AI-driven components.
Lead technical discussions with stakeholders, including product managers, data scientists, and platform teams.
Ensure architectural alignment with enterprise standards and best practices.
Required Skills & Experience:
5+ years of experience in backend development with Python.
Proven experience designing and deploying microservices architectures.
Familiarity with AI/ML concepts, especially LLMs, prompt engineering, and AI agents.
Understanding of LangChain, Agentic AI, or similar LLM orchestration frameworks.
Experience integrating with AI platforms (e.g., OpenAI, Azure OpenAI, Anthropic, Hugging Face).
Strong understanding of API design, event-driven systems, and cloud-native architectures.
Excellent communication and stakeholder management skills.
Production-level RAG implementation experience.
Hands-on experience with LLM-based applications or AI agent frameworks.
Exposure to MCP, A2A, or similar AI infrastructure concepts.
Experience with containerization (Docker, Kubernetes) and CI/CD pipelines.
Knowledge of data pipelines and AI model lifecycle management
Nice-to-Have / Big Plus:
  • Experience with MCP, A2A, or similar AI infrastructure concepts
  • Knowledge of data pipelines & AI model lifecycle management
  • Prior experience architecting enterprise AI platforms
Why Join Us?
  • Work on real production AI systems, not just POCs
  • Design next-gen Agentic & LLM-powered architectures
  • High ownership, high impact role
  • Flexible Hybrid setup
  • Collaborate with strong engineering & AI talent

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