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Python Ai Ml Jobs in California (NOW HIRING)

AI/ML Engineer - Remote

Palo Alto, CA · Remote

$200 - $350/hr

Strong Python proficiency for AI/ML development, including REST APIs and SDK integrations. * Hands-on production experience with LLMs, RAG, and prompt engineering . * Experience with multi-agent ...

Strong Python proficiency for AI/ML development, including REST APIs and SDK integrations. * Hands-on production experience with LLMs, RAG, and prompt engineering . * Experience with multi-agent ...

Strong Python proficiency for AI/ML development, including REST APIs and SDK integrations. * Hands-on production experience with LLMs, RAG, and prompt engineering . * Experience with multi-agent ...

AI/ML Engineer - Remote

San Jose, CA · Remote

$200 - $350/hr

Strong Python proficiency for AI/ML development, including REST APIs and SDK integrations. * Hands-on production experience with LLMs, RAG, and prompt engineering . * Experience with multi-agent ...

AI/ML Tech Architect

Oakland, CA · On-site

$150 - $200/hr

Senior AI/ML Tech Lead / Architect Marysville, OH or Torrance, CA We are seeking a highly ... Proficient in Python, SQL & ML frameworks (TensorFlow, PyTorch, Scikit‑learn) * Experience with ...

Senior AI/ML Tech Lead / Architect ???? Marysville, OH or Torrance, CA We are seeking a highly ... SageMaker, Bedrock, Glue, Redshift, Kinesis, Lambda, Lake Formation ✅ Proficient in Python, SQL ...

AI/ML Engineer

Irvine, CA · On-site

$70 - $80/hr

... seeks an AI/ML Engineer to design, build, and productionize advanced machine learning and ... The role requires strong Python and PyTorch skills, experience with agentic frameworks and RAG, and ...

Python + ML

Sunnyvale, CA · On-site

$59 - $81.25/hr

Excellent expertise in Object oriented programming Python and API ... Excellent expertise in AI/ML Technologies * Excellent expertise in Numpy, Pandas, SciPy * Excellent ...

Required : • BS/MS in Computer Science, Machine Learning, or related field. • 3-5 years of AI/ML engineering; minimum 2 years building LLM-powered systems shipped to production. • Strong Python;

Python developer

Fremont, CA · On-site

$55.25 - $76/hr

The role involves hands-on programming and development of AI/ML applications, requiring strong expertise in Python and various frameworks. Responsibilities : • Proven experience as a Python ...

Build robust data pipelines using Python, SQL, and Azure services to extract, clean, and prepare data for AI, ML and reporting use cases. * Leverage tools like Power BI and Azure ML to visualize ...

AI/ML Engineer

San Francisco, CA · On-site

$150 - $200/hr

Work on cutting‑edge AI solutions including LLMs, computer vision, and predictive analytics for ... Strong programming skills in Python and ML frameworks * Experience with deep learning frameworks ...

The Role: Our Client is seeking an innovative AI/ML engineer to develop foundation models for ... related field. -Proficiency in Python and ML frameworks (TensorFlow, PyTorch). -Strong ...

Showing results 21-40

Python Ai Ml information

What is a Python AI ML engineer?

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.

How does a Python AI ML engineer 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.

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.

Is Python good for AI ML?

Python is widely used in AI and ML roles due to its simplicity, extensive libraries like TensorFlow and scikit-learn, and strong community support. It is considered one of the best programming languages for developing machine learning models and artificial intelligence applications.

What job categories do people searching Python Ai Ml jobs in California look for?

The top searched job categories for Python Ai Ml jobs in California are:

What cities in California are hiring for Python Ai Ml jobs?

Cities in California with the most Python Ai Ml job openings:

Infographic showing various Python Ai Ml job openings in California as of August 2026, with employment types broken down into 77% Full Time, 20% Part Time, and 3% Contract. Highlights an 66% Physical, 4% Hybrid, and 30% Remote job distribution.

AI/ML Engineer - Remote

YO AI Labs

Palo Alto, CA • Remote

$200 - $350/hr

Full-time

Posted 12 days ago


Job description

AI/ML Engineer

Job Type: Full-Time
Location: Remote

Job Summary

We are seeking an experienced AI/ML Engineer to build and deploy secure, scalable AI solutions for mission-critical initiatives while contributing to proprietary AI infrastructure. You will work with LLMs, RAG, prompt engineering, multi-agent systems, and cloud AI platforms to develop production-grade machine learning applications.

Key Responsibilities
  • Design, implement, and optimize AI/ML solutions using LLMs, RAG, and prompt engineering.
  • Develop and orchestrate multi-agent systems using LangGraph and LangChain.
  • Deploy AI solutions across secure cloud environments such as AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, and AWS Bedrock.
  • Build robust ETL and data pipelines, metadata catalogs, and ontologies for AI training and inference.
  • Develop and maintain REST APIs and SDK integrations.
  • Collaborate with product, security, and engineering teams to deliver secure, scalable solutions.
  • Follow modern secure coding, DevOps, and CI/CD practices.
  • Document technical decisions and communicate complex concepts effectively to technical and non-technical stakeholders.
Required Skills & Qualifications
  • Strong Python proficiency for AI/ML development, including REST APIs and SDK integrations.
  • Hands-on production experience with LLMs, RAG, and prompt engineering.
  • Experience with multi-agent orchestration, tool use, LangGraph, and LangChain.
  • Strong knowledge of cloud AI services, including AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, and AWS Bedrock.
  • Experience building data pipelines, ETL processes, metadata catalogs, and ontologies.
  • Strong understanding of secure coding and CI/CD practices.
  • Excellent written and verbal communication skills.
Preferred Qualifications
  • Experience with enterprise AI platforms such as Anthropic for Gov, OpenAI Enterprise, Gemini Enterprise, or Grok Enterprise.
  • Knowledge of MCP, metadata catalog platforms, and advanced API development.
  • Experience working in government, regulated, or security-sensitive cloud environments.
  • Familiarity with relevant compliance and security standards.