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Python Ai Ml Jobs in California (NOW HIRING)

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 ...

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 ...

... 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 ...

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 ...

Expert-Level Python * Machine Learning, Model Training, Evaluation & Fine-Tuning * Generative AI ... Production-Grade ML/GenAI Engineering * Azure OpenAI & LLM API Integration * Agentic AI, Tool ...

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.

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.

Jr. Python AI/ML Developer

Ultimo Software Solutions Inc.

Union City, CA • On-site

$56.25 - $77.50/hr

Other

Posted 19 days ago


Job description

  • AI /ML experience is must require for this role.
  • Experience or knowledge LLM-powered applications and AI agent workflows.
  • Experience in reliable orchestration pipelines that turn probabilistic model outputs into predictable and safe actions.
  • LLM's with APIs, databases, search, internal services, and external tools.
  • Develop prompting, context engineering, structured outputs, tool-calling, and other techniques to improve model behavior.
  • Build evaluation frameworks and datasets to measure AI quality, reliability, and regressions.
  • Debug AI systems across the entire stack from model behavior and prompts to orchestration, backend services, and product UX.
  • Optimize AI systems for quality, latency, and cost.
  • Work closely with product and engineering teams to turn ambiguous product problems into working AI solutions.