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Python Ai Ml Jobs in California (NOW HIRING)

AI/ML Architect

Irvine, CA · On-site

$68.50 - $88/hr

Python & Backend Development * LLM / Generative AI Application Development * Agent-Based AI Systems * RAG / Vector DB / Embeddings * API Development & System Integration * AWS Cloud (Cloud-Native ...

AI/ML Engineer

Burbank, CA · On-site

$111K - $153K/yr

... ML Engineer to design, develop, and deploy advanced AI solutions. This role focuses on building ... The ideal candidate will bring deep expertise in Python, cloud-based AI deployment (Azure), and ...

... Python programming language. Qualifications : Required : • Experience - 5-7 Years • Experience in AI/ML development, with focus on OpenAI services, NLPs and LLMs • Ability to fine-tune pre ...

AI/ML engineer

Los Angeles, CA · On-site

$123K - $148K/yr

AI/ML engineer Job Location: Los Angeles, CA Job Type: Contract * 6 8 years of Handson experience ... Extensive experience in Python programming languages along with popular frameworks such as Flask ...

... ML Engineer to design, develop, and deploy advanced AI solutions. This role focuses on building ... The ideal candidate will bring deep expertise in Python, cloud-based AI deployment (Azure), and ...

Job Summary : Diversity Nexus is seeking a talented AI/ML Engineer with at least 3 years of ... Python • Experience with TensorFlow • Experience with PyTorch Preferred : • Experience with ...

Proficiency in Python, TensorFlow, and PyTorch, along with a deep understanding of AI/ML libraries and tools. * Experience with distributed computing and parallel processing frameworks, such as ...

AI/ML Engineer

San Francisco, CA · On-site

$150K - $250K/yr

Proficiency in Python and modern AI/ML frameworks (e.g., PyTorch, JAX, TensorFlow). * Experience with AI/ML algorithms for sequential, spatial, or physics-informed data (e.g., time series, mesh data ...

AI/ML Engineer

San Francisco, CA · On-site

$150K - $250K/yr

Proficiency in Python and modern AI/ML frameworks (e.g., PyTorch, JAX, TensorFlow). * Experience with AI/ML algorithms for sequential, spatial, or physics-informed data (e.g., time series, mesh data ...

AI/ML Architect with Databricks Location : Los Angeles CA (Hybrid) Role Overview We are seeking a ... Strong programming skills in Python (pandas, numpy, scikit‑learn). * Experience working with ...

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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.

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 76% Full Time, 19% Part Time, 2% Temporary, and 3% Contract. Highlights an 67% Physical, 4% Hybrid, and 29% Remote job distribution.

SDET / Senior Automation Engineer - Python & AI

Mpower Plus Rezolve AI Group LTD

Sunnyvale, CA • On-site

Other

Posted 7 days ago


Job description

Job Title: SDET / Senior Automation Engineer – Python & AI

Location: Sunnyvale, CA

Full time

Job Description:

We are looking for a strong SDET / Automation Engineer with hands-on experience in Python coding, Selenium automation, API automation, BDD/Cucumber, and CI/CD integration. The ideal candidate should also have practical experience using AI tools to improve and accelerate test automation and development workflows.

Must-Have Skills:

  • Strong hands-on Python coding experience — mandatory
  • Selenium automation using Python and Java
  • Java experience is secondary; Python is the primary requirement
  • Strong API automation/testing experience
  • Experience with BDD/Cucumber
  • CI/CD integration and automation
  • Hands-on experience utilizing AI tools for automation
  • Experience with tools such as Microsoft Copilot, Claude, Cursor, etc.
  • Ability to explain and justify how AI tools have been practically used in automation/testing
  • Strong understanding of QA automation frameworks and best practices

Preferred:

  • SDET / Automation Engineer background
  • AI/ML or AI-assisted automation experience
  • Previous experience with Ex-A / large enterprise environments is highly welcome
  • Strong communication and problem-solving skills