1

Python Ai Ml Jobs in California (NOW HIRING)

Strong proficiency in Python, SQL, and distributed computing and model training frameworks such as ... for a Senior AI/ML Engineer, Growth & Marketing AI to help us build the next generation of ...

AI/ML Engineer Location: Cupertino, CA Onsite/ Remote: Onsite Salary: Market Backfill Role JD ... Expertise in Python, vector databases (Elastic, Milvus, Pinecone, etc.), embeddings, and chunking ...

ML/AI Engineers Location: CA/Santa Clara (mostly remote with occasional meetings in the office ... Python (Advanced), Machine Learning frameworks (TensorFlow/PyTorch) Mandatory: Kubernetes ...

About the role Our client is a well‑funded AI startup building production‑grade ML ... Strong Python and PyTorch (or JAX) fundamentals * Experience with distributed training, GPU ...

AI/ML Engineering Manager

Milpitas, CA

$170K - $210K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

As AI/ML Engineering Manager, you will lead a team while staying hands-on as a technical ... Strong Python and SQL; hands-on with LLM frameworks (LangChain, LangGraph, CrewAI, Strands, or ...

Senior AI/ML Engineer

San Francisco, CA · On-site

$123K - $169K/yr

About the role Our client is a well-funded AI startup building production-grade ML infrastructure ... Strong Python and PyTorch (or JAX) fundamentals * Experience with distributed training, GPU ...

Senior AI/ML Engineer

San Francisco, CA · On-site

$123K - $169K/yr

About the role Our client is a well-funded AI startup building production-grade ML infrastructure ... Strong Python and PyTorch (or JAX) fundamentals * Experience with distributed training, GPU ...

AI/ML Engineering Manager

Milpitas, CA · On-site

$170K - $210K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

As AI/ML Engineering Manager, you will lead a team while staying hands-on as a technical ... Strong Python and SQL; hands-on with LLM frameworks (LangChain, LangGraph, CrewAI, Strands, or ...

Minimum 6 8 years of professional experience in full-stack development, with a focus on Python and AI/ML technologies. Strong expertise in Python frameworks (Django, Flask, FastAPI) and front-end ...

About the role As our AI/ML Platform Engineer, you will build the foundational systems that enable ... Design and build high-performance Python APIs that serve models, manage workflows, and expose AI ...

Computer Vision AI & ML Engineer

San Mateo, CA · On-site

$127K - $150K/yr

... Python; familiarity with C++ is a plus. • Experience building training pipelines, evaluation ... ML monitoring/MLOps practices. Company : Skild AI develops artificial intelligence systems that ...

Showing results 41-60

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 81% Full Time, 17% Part Time, and 2% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution.

AI/ML Architect (with ServiceNow development)

Reliable Software Resources

Foster City, CA • On-site

$83 - $104.50/hr

Other

Re-posted 2 days ago


Job description

Hi, 

We are looking for AI/ML Architect for one of our clients. 

AI/ML Architect – AI Services & ServiceNow IntegrationPosition Overview

We are seeking an experienced AI/ML Architect to design, develop, and implement enterprise-grade AI/ML solutions. The ideal candidate will have strong experience building AI/ML applications, deploying and hosting AI services, and integrating AI capabilities into enterprise platforms.

Experience with ServiceNow development and integration is highly preferred, particularly for candidates who have worked on embedding AI/ML capabilities into ServiceNow workflows, applications, or enterprise service management platforms.

Required Qualifications
  • Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Engineering, or a related field.
  • 8+ years of experience in software engineering, AI/ML, data science, or technology architecture, with significant experience in AI/ML solutions.
  • Proven experience designing and building AI/ML applications and enterprise AI services.
  • Strong understanding of Generative AI, LLMs, NLP, machine learning, deep learning, and AI application architecture.
  • Experience deploying and hosting AI/ML services using cloud platforms and/or containerized environments.
  • Strong programming experience in Python and familiarity with frameworks such as PyTorch, TensorFlow, scikit-learn, LangChain, LlamaIndex, or equivalent technologies.
  • Experience with cloud AI/ML services on platforms such as AWS, Microsoft Azure, or Google Cloud.
  • Understanding of vector databases, embeddings, RAG architectures, prompt engineering, and LLM integration.
  • Strong knowledge of software architecture principles, distributed systems, security, scalability, and performance optimization.
Preferred Qualifications
  • Hands-on ServiceNow development and integration experience.
  • Experience integrating AI/ML or Generative AI services with ServiceNow.
  • Experience with ServiceNow AI Search, Now Assist, Virtual Agent, IntegrationHub, Flow Designer, REST/SOAP APIs, or custom ServiceNow applications.