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

Berriehill Research

Senior AI Systems Engineer

Raleigh, NC · On-site +1

$92K - $126K/yr

Strong coding and automation skills in Python, Bash, or similar scripting languages. * Experience with AI/ML frameworks and tooling such as PyTorch, Hugging Face, or similar ecosystems. * Proficiency ...

ARA

Senior AI Systems Engineer

Raleigh, NC · On-site

$92K - $126K/yr

Strong coding and automation skills in Python, Bash, or similar scripting languages. * Experience with AI/ML frameworks and tooling such as PyTorch, Hugging Face, or similar ecosystems. * Proficiency ...

Lindsay & Brownell

AI Solution Architect

Raleigh, NC · On-site +1

$61.25 - $80.75/hr

Python, C#, JavaScript/TypeScript, SQL * AI/ML Frameworks: TensorFlow, PyTorch, Scikit-learn, Transformers * Vector Databases: Azure Cosmos DB, Pinecone, or Weaviate * DevOps & MLOps: Azure DevOps, ...

Eisneramper Llp

AI Solution Architect

Raleigh, NC · On-site +1

$61.25 - $80.75/hr

Python, C#, JavaScript/TypeScript, SQL * AI/ML Frameworks: TensorFlow, PyTorch, Scikit-learn, Transformers * Vector Databases: Azure Cosmos DB, Pinecone, or Weaviate * DevOps & MLOps: Azure DevOps, ...

CoVar

Machine Learning Engineer

Durham, NC

Python and associated numerical and analytics packages (NUMPY, PANDAS, etc.); git; PYTORCH or TensorFlow; CI/CD pipelines and regression testing. * AI/ML expertise: Machine learning fundamentals;

First Citizens Bank

Principal AI Architect

Raleigh, NC · On-site

$160K - $240K/yr

... Python, SQL, and modern data frameworks (e.g., Databricks, Airflow, Snowflake, Vertex AI). • Relevant AWS certifications in cloud architecture, AI/ML, generative AI, or related domains. • ...

Infosys

AI Engineer

Raleigh, NC · On-site

Required : • Strong programming skills in Python • Hands-on experience with AI/ML frameworks: TensorFlow, PyTorch, LangChain • Expertise in Generative AI, including: RAG (Retrieval-Augmented ...

First Citizens Bank

Principal AI Architect

Raleigh, NC

$160K - $240K/yr

... Python, SQL, and modern data frameworks (e.g., Databricks, Airflow, Snowflake, Vertex AI). • Relevant AWS certifications in cloud architecture, AI/ML, generative AI, or related domains. • ...

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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

Senior AI Systems Engineer

Berriehill Research

Raleigh, NC • On-site, Remote

$92K - $126K/yr

Full-time

Posted 29 days ago

Job description

Essential Functions:

  • Lead the deployment, integration, and operational support of AI platforms, tools, and services, ensuring compatibility with existing systems and enterprise processes.
  • Design, implement, monitor, and optimize AI infrastructure, working with server, cloud, and platform engineering teams.
  • Operationalize machine learning workflows and support AI-enabled applications from development through production deployment and sustainment.
  • Build and maintain CI/CD and MLOps pipelines for model packaging, testing, deployment, rollback, and lifecycle management.
  • Implement infrastructure automation using scripting, Infrastructure as Code, and configuration management practices.
  • Provide ongoing technical support, troubleshooting, root cause analysis, and documentation for AI platforms and user-facing AI services.
  • Maintain observability across AI systems through logging, metrics, performance monitoring, alerting, and incident response practices.
  • Ensure security, compliance, and governance requirements are met, including participation in audits, vulnerability management, and secure architecture reviews.
  • Assess and implement system enhancements to improve performance, scalability, reliability, and cost efficiency.
  • Collaborate across divisions to support diverse AI initiatives and align technical implementations with mission and business objectives.
  • Evaluate emerging AI tools, frameworks, and infrastructure approaches for operational fit, supportability, and long-term value.
  • Develop and maintain technical documentation, runbooks, architecture diagrams, and operational procedures.

Experience and Skills Required:

  • Bachelor’s degree in computer science, Engineering, Information Technology, or a related STEM field with 8-10 years of engineering experience. 
  • 2+ years of experience supporting AI/ML platforms, MLOps workflows, model deployment, or AI-enabled infrastructure.
  • Strong coding and automation skills in Python, Bash, or similar scripting languages.
  • Experience with AI/ML frameworks and tooling such as PyTorch, Hugging Face, or similar ecosystems.
  • Proficiency with DevOps and MLOps practices, including CI/CD pipelines, Git-based workflows, containerization, and Kubernetes.
  • Experience deploying AI/ML models or AI services into operational environments, including containerized, cloud, or high-performance computing environments.
  • Familiarity with security frameworks and compliance standards such as NIST and CMMC.
  • Familiarity with AI security functionality in enterprise environments including OAuth
  • Strong communication skills and the ability to collaborate effectively across technical and non-technical teams.

Preferred:

  • Advanced degree or certifications related to AI or machine learning.
  • Experience integrating AI models into scientific workflows.
  • Familiarity with large language model (LLM) APIs and orchestration frameworks such as OpenAI, Hugging Face, LangGraph, or LangChain.
  • Experience with model serving, inference optimization, or AI platform tools such as MLflow, Kubeflow, vLLM, or similar.
  • Experience with simulations for scientific or engineering projects, particularly physical systems simulations.
  • Experience with GPU-based systems or running AI models in HPC environments.
  • Experience writing and deploying MCP Servers on Kubernetes
  • DoD experience
  • Secret Security Clearance – Active or Inactive

Education:

  • Bachelor’s degree in CS, Software Engineering or other IT-related field or equivalent experience

REMOTE WORK NOTICE: This position may be performed fully remote, hybrid, or onsite at an ARA office. Preference will be given to candidates located onsite in the Albuquerque, NM and Raleigh, NC area.

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