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Python Ml Developer Jobs in San Ramon, CA (NOW HIRING)

Mach9 Robotics Inc

ML Engineer

San Francisco, CA · On-site

$180K - $300K/yr

The role At Mach9, ML Engineers build the perception models at the core of our AI-enabled CAD ... Proficient with Python and a production-quality ML library like PyTorch, JAX, or TensorFlow. Bonus ...

Clera

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 ... Experience with computer-aided engineering (CAE), computer-aided design (CAD), and/or product ...

Hop

AI/ML Engineer

San Francisco, CA · On-site

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;

Clera

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 ... Experience with computer-aided engineering (CAE), computer-aided design (CAD), and/or product ...

Open Orion

ML Engineer

San Francisco, CA · On-site

... in Python and at least one ML framework (PyTorch, JAX, TensorFlow) • Experience with structured prediction, 3D data, or scientific/engineering ML (not just NLP/vision) • Comfort working in ...

Career Renew

Senior ML Engineer

San Francisco, CA · Remote

$180K - $240K/yr

... ML team building production-grade AI voice agents used by enterprise customers like AAA and ... You're an applied AI engineer who thrives in startup environments, writes clean Python, and can ...

Apple

ML Agent Engineer

San Francisco, CA · On-site

Solid software engineering skills in complex systems - Fluency in Python. You deliver clean, well-tested code. Hands-on experience with distributed ML systems - CI/CD at scale, distributed testing ...

Gridware

ML Infrastructure Engineer

San Francisco, CA

$190K - $250K/yr

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 ...

Gridware

ML Infrastructure Engineer

San Francisco, CA

$190K - $250K/yr

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 ...

Gridware

ML Infrastructure Engineer

San Francisco, CA · On-site

$190K - $250K/yr

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 ...

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Showing results 21-40

All JobsPython Ml Developer JobsPython Ml Developer Jobs in San Ramon, CA

Python Ml Developer information

See San Ramon, CA salary details

$14

$65

$96

How much do python ml developer jobs pay per hour?

As of Aug 8, 2026, the average hourly pay for python ml developer in San Ramon, CA is $65.51, according to ZipRecruiter salary data. Most workers in this role earn between $53.99 and $74.42 per hour, depending on experience, location, and employer.

What does a Python ML Developer do?

A Python ML Developer designs, builds, and deploys machine learning models using the Python programming language. They work with large datasets, clean and process data, select appropriate algorithms, and use libraries like TensorFlow, PyTorch, or scikit-learn to implement solutions. Their work often involves collaborating with data scientists and engineers to integrate machine learning models into applications. Additionally, they may be responsible for testing, tuning, and optimizing models to achieve the best possible performance in real-world scenarios.

What are some common challenges Python ML Developers face when deploying machine learning models to production?

Python ML Developers often encounter challenges such as ensuring model scalability, managing dependencies, and maintaining reproducibility when deploying models into production environments. Integrating machine learning models with existing systems can require close collaboration with DevOps and software engineering teams to streamline workflows and automate deployment pipelines. Additionally, monitoring model performance over time and handling data drift are crucial responsibilities to ensure continued accuracy and reliability of deployed solutions.

What are the key skills and qualifications needed to thrive as a Python ML Developer?

To thrive as a Python ML Developer, you need strong programming skills in Python, a solid understanding of machine learning algorithms, and a background in mathematics or statistics, often supported by a degree in computer science, engineering, or a related field. Familiarity with tools and libraries such as TensorFlow, scikit-learn, PyTorch, and version control systems like Git is essential, along with experience using data visualization and cloud platforms. Critical soft skills include problem-solving, adaptability, and effective communication to collaborate with cross-functional teams and explain complex models to stakeholders. These skills ensure the successful development, deployment, and maintenance of machine learning solutions that drive business value.

What is the difference between Python Ml Developer vs Data Scientist?

AspectPython Ml DeveloperData Scientist
Required CredentialsBachelor's in CS, Data Science, or related; Python, ML certificationsBachelor's/Master's in Data Science, Statistics, or related; Python, ML certifications
Work EnvironmentSoftware development teams, AI/ML projectsResearch, data analysis, modeling teams
Employer & Industry UsageTech companies, startups, AI firmsFinance, healthcare, tech, research institutions
Common Search & ComparisonYesYes

Python ML Developers focus on building and deploying machine learning models using Python, often working closely with software engineering teams. Data Scientists analyze data, create models, and generate insights, often using Python along with statistical tools. While both roles require Python and ML knowledge, Python ML Developers are more involved in implementation and deployment, whereas Data Scientists focus on data analysis and research.

What are popular job titles related to Python Ml Developer jobs in San Ramon, CA? For Python Ml Developer jobs in San Ramon, CA, the most frequently searched job titles are:
What job categories do people searching Python Ml Developer jobs in San Ramon, CA look for? The top searched job categories for Python Ml Developer jobs in San Ramon, CA are:
What cities near San Ramon, CA are hiring for Python Ml Developer jobs? Cities near San Ramon, CA with the most Python Ml Developer job openings:
Python Ml Developer jobs near you

Python Developer (Machine Learning) F2F drive on13th July

AgreeYa Solutions

Fremont, CA • On-site

$55 - $75.75/hr

Other

Posted 29 days ago

Job description

Job Title: Python Developer (Machine Learning)

Location: Fremont, CA 94538
Work Arrangement: Onsite 5 Days/Week

Job Summary

We are seeking a highly skilled Python Developer with strong Machine Learning expertise to design, develop, and deploy scalable AI solutions supporting enterprise service and customer support applications. The ideal candidate will have hands-on experience building production-grade machine learning models, working with diverse datasets, and collaborating with cross-functional teams to solve complex business problems. This role requires a strong software engineering mindset, deep Python expertise, and experience taking ML models from research through production.

Key Responsibilities

  • Design, develop, and implement machine learning models for service and customer support applications using techniques such as supervised learning, convolutional neural networks (CNNs), and modern ML frameworks.
  • Build scalable AI solutions by leveraging Python, PyTorch, Pandas, and other data science libraries.
  • Collaborate with service operations, customer support, and business stakeholders to identify challenges and develop data-driven solutions.
  • Own the deployment, monitoring, and maintenance of production machine learning models, including implementing alerting and monitoring systems.
  • Work with structured and unstructured datasets, including text, voice, images, and tabular data, to develop predictive and intelligent applications.
  • Translate ambiguous business requirements into end-to-end machine learning solutions.
  • Develop clean, modular, reusable, and production-ready code following software engineering best practices.
  • Participate in Agile development processes, including sprint planning, code reviews, testing, and continuous improvement.
  • Optimize model performance, scalability, and reliability for enterprise production environments.
  • Collaborate closely with software engineers, data scientists, and product teams to deliver high-quality AI-powered applications.

Required Qualifications

  • Strong expertise in Python programming for high-performance and data-intensive applications.
  • Hands-on experience with at least one modern deep learning framework such as PyTorch, TensorFlow, or JAX.
  • Experience developing and deploying production machine learning systems.
  • Knowledge of supervised learning, deep learning, convolutional neural networks (CNNs), and model evaluation techniques.
  • Strong understanding of statistics, model validation, and performance comparison methodologies.
  • Experience working with heterogeneous datasets including text, images, voice, and tabular data.
  • Familiarity with large language models (LLMs), recommender systems, or operations research is highly preferred.
  • Passion for writing clean, maintainable, and scalable production code.
  • Experience working in Agile/Scrum development environments.
  • Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, or a related field (or equivalent practical experience).

Preferred Skills

  • Experience deploying ML models into production environments.
  • Knowledge of MLOps concepts, model monitoring, and automated alerting.
  • Strong problem-solving skills with the ability to work independently on complex and ambiguous challenges.
  • Excellent communication and collaboration skills within cross-functional engineering teams.

Apply