1

Python Ml Engineer Jobs in California (NOW HIRING)

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

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 ...

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 ...

Principal ML Engineer

Palo Alto, CA · Hybrid

$230K - $260K/yr

Proficiency in Python and systems-level programming (C/C++ or equivalent) * Bonus: Experience building ML platforms used across multiple products or teams * Bonus: Prior role as a Staff+ / Principal ...

ML Engineer

Aliso Viejo, CA · On-site

$47 - $52/hr

Proven expertise in Python and ML frameworks (MLFlow, TensorFlow, PyTorch, Scikit-learn, or ... Experience with feature engineering, data preprocessing, and data manipulation libraries (Pandas ...

AI/ML Engineer

Irvine, CA · On-site

$70 - $80/hr

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

AI/ML Engineer

San Francisco, CA · On-site

$150 - $200/hr

Strong programming skills in Python and ML frameworks * Experience with deep learning frameworks (TensorFlow, PyTorch) * Knowledge of MLOps tools and practices * Experience deploying models to ...

You will interact closely with ML engineers, clinicians, software and hardware engineers. You will ... in Python and ML frameworks e.g. PyTorch, Tensorflow Experience with health data analysis ...

Proficiency in Python and C++, with hands‑on experience using PyTorch and/or TensorFlow to build and deploy models. * Experience with ROS or ROS2 and integrating ML models into robotics software ...

Strong Python programming and ML framework experience (PyTorch, TensorFlow) * Experience deploying ML models in production environments * Understanding of NLP, embedding models, and retrieval systems

Role Description As a Senior ML Infrastructure Engineer, you will work directly in the Automation ... Strong software engineering skills and proficiency in Python * Experience with cloud platforms (AWS ...

Strong software engineering skills and proficiency in Python * Experience with cloud platforms (AWS ... MLFlow) Senior ML Engineer Base Salary- $190,000-$210,000 Staff ML Engineer Base Salary- $245,000 ...

Role Description As a Senior ML Infrastructure Engineer, you will work directly in the Automation ... Strong software engineering skills and proficiency in Python * Experience with cloud platforms (AWS ...

Principal ML Engineer

Palo Alto, CA · On-site

$230K - $260K/yr

Proficiency in Python and systems-level programming (C/C++ or equivalent) * Bonus: Experience building ML platforms used across multiple products or teams * Bonus: Prior role as a Staff+ / Principal ...

Applied ML Engineer

San Francisco, CA · On-site

$200 - $250/hr

... Typescript, Swift, Python, Rust) Qualifications * 3+ years of experience in applied machine ... Strong software engineering skills and experience building reliable ML pipelines and tooling.

Applied ML Engineer

San Francisco, CA · On-site

$170K - $280K/yr

... Typescript, Swift, Python, Rust) Qualifications * 3+ years of experience in applied machine ... Strong software engineering skills and experience building reliable ML pipelines and tooling.

Showing results 41-60

Python Ml Engineer information

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

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

AI/ML Engineer - Remote

San Francisco, CA • Remote

$200 - $350/hr

Full-time

Posted 13 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.