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Contract Google Machine Learning Engineer Jobs in Berkeley, CA

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Machine Learning Engineer

San Francisco, CA · On-site

$30 - $35/hr

Data Engineer (Machine Learning) Job Type: Full-Time Location: Candidate must be open to relocate ... Familiarity with cloud platforms such as AWS, Azure, or Google Cloud Platform. * Knowledge of ETL ...

Capital One

Lead Machine Learning Engineer

San Francisco, CA · On-site +1

$120K - $159K/yr

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of ... Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google ...

Winaxis

Machine Learning Engineer

Fremont, CA · On-site

Machine Learning Engineer Location: Fremont, CA (Local) Onsite interview Duration: 12+ Mos H1B Only h1 candidate About the Role: Our direct client is hiring a Machine Learning Engineer for their ...

MM International

Machine Learning Engineer

Fremont, CA · On-site

Machine Learning Engineer Location: Fremont, CA once the documents are verified, a Codility assessment will be shared with the candidate, where they need to score a minimum of 70% and post that, a ...

DocuSign

Machine Learning Engineer

San Francisco, CA · On-site +1

$164K - $266K/yr

... contract lifecycle management (CLM). What you'll do As a Machine Learning Engineer on the AI ... Platform team, you will design and build the foundational infrastructure that powers Docusign ...

Poesis

Machine Learning Engineer

San Francisco, CA · On-site

$200K - $280K/yr

We're looking for an exceptional Machine Learning Engineer to help build the systems that make this possible. In this role, you'll develop models, signals and evaluation frameworks that power ...

Latent

Machine Learning Engineer

San Francisco, CA · On-site

$225K - $300K/yr

Machine Learning Engineer About Latent Health Healthcare today is only truly personalized for two groups: those with wealth and access, and those with physicians in their immediate family. For ...

Goodfire

Machine Learning Engineer

San Francisco, CA · On-site

They are seeking Machine Learning Engineers to build their platform for training, evaluating, and deploying interpretable AI systems at scale, contributing to core technology and product features.

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Contract Google Machine Learning Engineer information

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$36

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How much do contract google machine learning engineer jobs pay per hour?

As of Jul 30, 2026, the average hourly pay for contract google machine learning engineer in Berkeley, CA is $59.92, according to ZipRecruiter salary data. Most workers in this role earn between $50.34 and $62.12 per hour, depending on experience, location, and employer.
What job categories do people searching Contract Google Machine Learning Engineer jobs in Berkeley, CA look for? The top searched job categories for Contract Google Machine Learning Engineer jobs in Berkeley, CA are:
What cities near Berkeley, CA are hiring for Contract Google Machine Learning Engineer jobs? Cities near Berkeley, CA with the most Contract Google Machine Learning Engineer job openings:
Contract Google Machine Learning Engineer jobs near you
Infographic showing various Contract Google Machine Learning Engineer job openings in Berkeley, CA as of July 2026, with employment types broken down into 60% Full Time, 23% Part Time, 1% Temporary, and 16% Contract. Highlights an 78% Physical, 3% Hybrid, and 19% Remote job distribution, with an average salary of $124,624 per year, or $59.9 per hour.

Machine Learning Engineer

Indotronix International Corporation

Pleasanton, CA • On-site

Contractor

Posted 3 days ago

New

Job description

Machine Learning Engineer | Pleasanton, California, United States Machine Learning Engineer (Azure Focus) - Remote (PST) [About the Role] Join GAP as a Machine Learning Engineer and lead the development, deployment, and optimization of innovative AI solutions in a fully remote environment. This six-month contract opportunity is tailored for engineers with a passion for hands-on machine learning in Microsoft Azure production settings. Collaborate with talented teams to create real business impact by delivering robust, scalable models for enterprise applications. [Responsibilities] - Design, build, and deploy machine learning models using neural networks and NLP techniques to solve business challenges - Manage the complete ML lifecycle: data preparation, model selection, training, evaluation, deployment, and ongoing performance monitoring - Leverage Python and ML frameworks (TensorFlow, PyTorch, Keras) to develop, optimize, and maintain models - Implement MLOps best practices, including CI/CD pipelines, model versioning, and automated retraining in Azure environments - Collaborate cross-functionally with data scientists, engineers, and stakeholders to deliver production-ready AI solutions - Utilize Azure Machine Learning, Azure DevOps, and Azure Databricks for end-to-end ML operations [Required Skills and Experience] - Proven track record developing and deploying machine learning models into Microsoft Azure cloud platforms - Hands-on expertise with neural networks and NLP methods (text classification, sentiment analysis, entity extraction, chatbots, or language models) - Advanced proficiency in Python; practical experience with R and SQL for data extraction and statistical modeling - Deep understanding of supervised and unsupervised learning algorithms, model evaluation, and optimization - Mastery of modern ML frameworks (TensorFlow, PyTorch, Keras) in production - Demonstrable experience in MLOps: CI/CD for ML, model monitoring, version control, retraining, and production support [Preferred Skills] - Experience with Azure Databricks, Azure Functions, and Azure Pipelines - Familiarity with containerization (Docker/Kubernetes) for scalable ML deployments - Strong feature engineering and ML pipeline automation skills [Benefits] - 100% remote work-collaborate with a diverse team from anywhere within PST hours - Opportunity for contract extension and career progression on impactful enterprise AI projects - Exposure to best-in-class Azure ML infrastructure and enterprise DevOps practices [How to Apply] Excited to build and deploy cutting-edge AI solutions in Azure? Submit your resume now. Qualified candidates will be contacted for an initial screening and technical interview.
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About Indotronix

Sourced by ZipRecruiter

In 1986, Indotronix established itself in the staffing space. 22 years later, Avani entered the scene, offering consulting and technology development. Finally, in 2016, the two joined forces to begin delivering talent across all areas, from Staffing to Consulting to unique platform development.

Industry

Recruiting and staffing services

Company size

1,001 - 5,000 Employees

Headquarters location

Rochester, NY, US

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