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Python Ml Developer Jobs in Newark, CA (NOW HIRING)

General Motors

Senior AI/ML Engineer

Sunnyvale, CA · On-site +1

$124.30K - $170.70K/yr

... engineering , and AI/ML , defining the strategies, tooling, and quality controls that create ... We own a modern full-stack architecture including TypeScript/React, Python, GraphQL, Golang , and ...

Knowtex

Applied ML Engineer

San Francisco, CA · On-site

Strong proficiency in Python and PyTorch (or TensorFlow) * Experience deploying ML models in ... Strong software engineering fundamentals and debugging skills Preferred Qualifications * Experience ...

General Motors

Senior AI/ML Engineer

Sunnyvale, CA · On-site +1

$122.60K - $168.40K/yr

The Data Labeling Engineering team designs, builds, and operates hybrid human/machine data labeling ... We own a modern fullstack architecture including TypeScript/React, Python, GraphQL, Golang , and ML ...

Dexmate

Developer Advocate Engineer

Santa Clara, CA · On-site

Required : • You write Python fluently and have real ML engineering experience -- model training, fine-tuning, inference optimization, or ML infrastructure. You've shipped models that ran in ...

Gridware

ML Infrastructure Engineer

San Francisco, CA

$190K - $260K/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 · On-site

$245K - $260K/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 ...

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 ...

Gridware

ML Infrastructure Engineer

San Francisco, CA · On-site

$190K - $260K/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 ...

Zoox

Software Engineer, ML Core

Foster City, CA · On-site

... ML developer experience, and expedite debugging efforts. * Collaborate closely with cross ... Proficient in Python or C++ * Familiarity with any of the training frameworks and libraries like ...

Lucid Motors

Senior AI/ML Engineer

Newark, CA

$117.50K - $161.40K/yr

Expert-level proficiency in Python for ML and data workflows; experience with Java, Go, Rust, or C ... Track record of mentoring other engineers or contributing to open-source ML/AI projects.

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How much do python ml developer jobs pay per hour?

As of May 29, 2026, the average hourly pay for python ml developer in Newark, CA is $65.93, according to ZipRecruiter salary data. Most workers in this role earn between $54.33 and $74.90 per hour, depending on experience, location, and employer.

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

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 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 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 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 Newark, CA? For Python Ml Developer jobs in Newark, CA, the most frequently searched job titles are:
What job categories do people searching Python Ml Developer jobs in Newark, CA look for? The top searched job categories for Python Ml Developer jobs in Newark, CA are:
What cities near Newark, CA are hiring for Python Ml Developer jobs? Cities near Newark, CA with the most Python Ml Developer job openings:
Python Ml Developer jobs near you
Infographic showing various Python Ml Developer job openings in Newark, CA as of May 2026, with employment types broken down into 1% Internship, 81% Full Time, 16% Part Time, and 2% Contract. Highlights an 80% Physical, 5% Hybrid, and 15% Remote job distribution, with an average salary of $137,139 per year, or $65.9 per hour.

AI/ML Engineer

Tech Mahindra (Americas) Inc.

San Jose, CA • On-site

Other

Posted 18 days ago

Tech Mahindra rating

6.7

Company rating: 6.7 out of 10

Based on 9 frontline employees who took The Breakroom Quiz

135th of 203 rated it services

Job description

Job Title: AI/ML EngineerLocation: San Jose, CADuration: Fulltime/Permanent position Job Summary: We are seeking a talented and experienced AI/ML Engineer with a strong background in data science, generative AI, and agentics. The ideal candidate will have a proven track record of developing and deploying machine learning models, with a particular emphasis on TensorFlow. This role requires a deep understanding of AI/ML concepts and the ability to work collaboratively in a fast paced environment.Responsibilities:
  • Design, develop, and implement machine learning models using TensorFlow to solve complex business problems.
  • Collaborate with cross functional teams to gather requirements and translate them into technical specifications.
  • Conduct data analysis and preprocessing to ensure high quality input for machine learning algorithms.
  • Stay updated with the latest advancements in AI/ML technologies and apply them to enhance existing systems.
  • Optimize and fine tune models for performance and scalability.
  • Document processes, methodologies, and results to ensure knowledge sharing within the team.
  • Mentor junior team members and contribute to a culture of continuous learning and improvement.
Mandatory Skills:
  • Strong expertise in TensorFlow, Keras and its ecosystem.
  • Proficient in Python and relevant libraries (e.g., NumPy, Pandas, Scikit learn).
  • Solid understanding of machine learning algorithms and techniques, including supervised and unsupervised learning.
  • Experience with data preprocessing, feature engineering, and model evaluation.
  • Familiarity with cloud platforms (e.g., Google Cloud, AWS) for deploying machine learning models.
Qualifications:
  • Bachelor's or Master's degree in Computer Science, Data Science, or a related field.
  • 5 7 years of experience in AI/ML engineering or a related role.
  • Proven experience in developing and deploying machine learning models in production environments.
  • Excellent communication skills and the ability to work effectively in a team.

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