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Machine Learning Ai Developer Jobs in Santa Clara, CA

Nace AI is a company focused on machine learning solutions, and they are seeking a Machine Learning Engineer to translate cutting-edge research into scalable, production-ready solutions. The role ...

As a Machine Learning Engineer, you will play a central role in translating cutting-edge machine ... AI's strategic objectives. Key Responsibilities: * Design, build, and maintain end-to-end ML ...

Omnissa is the first AI-driven digital work platform, built to support flexible, secure, work-fro ... As a Staff Machine Learning Engineer , you will design, build, and deploy machine learning systems ...

Nace AI is a company focused on leveraging machine learning to drive product value. They are seeking a Machine Learning Engineer to translate research into scalable solutions, collaborating with ...

Agentic AI Engineer

Santa Clara, CA · On-site

$135K - $162K/yr

... machine learning models for classification, regression, NLP, or computer vision tasks. • Write ... teams (data engineers, researchers, and product managers) to integrate AI/ML solutions into ...

Machine Learning Engineer / Research Engineer Pay: $$110,000 - $165,000 Base Salary + Equity Shift ... AI platform. Key Responsibilities Machine Learning Research & Development * Design, train, and ...

New

Omnissa is the first AI-driven digital work platform, built to support flexible, secure, work-fro ... As a Staff Machine Learning Engineer , you will design, build, and deploy machine learning systems ...

As a Full-stack AI Developer, will bridge the gap between AI research and production-ready ... Implement machine learning models (using frameworks like PyTorch, TensorFlow, or scikit-learn) into ...

Showing results 21-40

Machine Learning Ai Developer information

See Santa Clara, CA salary details

$11

$62

$84

How much do machine learning ai developer jobs pay per hour?

As of Aug 8, 2026, the average hourly pay for machine learning ai developer in Santa Clara, CA is $62.69, according to ZipRecruiter salary data. Most workers in this role earn between $55.34 and $71.15 per hour, depending on experience, location, and employer.

What is the difference between Machine Learning Ai Developer vs Data Scientist?

AspectMachine Learning Ai DeveloperData Scientist
CredentialsBachelor's or higher in CS, AI, or related fields; certifications in ML/AIBachelor's or higher in CS, Statistics, or related fields; certifications in data analysis or ML
Work EnvironmentDevelops AI models, algorithms, and applications; often in tech companies or R&DAnalyzes data, builds models, and provides insights; in various industries including finance, healthcare
Industry UsagePrimarily in AI product development, software, and tech firmsAcross industries for data analysis, business intelligence, and decision-making

While both roles require knowledge of machine learning and programming, Machine Learning Ai Developers focus on creating and deploying AI models and applications, whereas Data Scientists analyze data to extract insights and inform business strategies. The roles often overlap but differ in primary focus and application.

What cities near Santa Clara, CA are hiring for Machine Learning Ai Developer jobs? Cities near Santa Clara, CA with the most Machine Learning Ai Developer job openings:
Infographic showing various Machine Learning Ai Developer job openings in Santa Clara, CA as of July 2026, with employment types broken down into 1% As Needed, 72% Full Time, 23% Part Time, 1% Temporary, and 3% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $130,393 per year, or $62.7 per hour.

Contractor

Posted 12 days ago


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.

Indotronix logo

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