Machine Learning Engineer

We are looking for Machine Learning Engineer - Hybrid for our client in San Jose CA.

Job Title: Machine Learning Engineer

Job Location: San Jose CA

Job Type: Contract

Job Overview:

Pay Range: $55.00hr - $60.00hr

Requirement/Must Have:

• 3+ years of professional experience building and deploying machine learning models in a production environment.
• Advanced proficiency in Python and its core data science/ML libraries (e.g., PyTorch, scikit-learn, Pandas).
• Advanced proficiency in SQL for complex data manipulation, aggregation, and analysis.
• Demonstrable, hands-on experience in prompt engineering and/or fine-tuning Large Language Models (e.g., Gemini).
• Hands-on experience with a major cloud provider, with a strong preference for Google Cloud Platform (Google Cloud Platform).
• Solid understanding of MLOps principles and experience with related tools (e.g., Vertex AI, CI/CD).

Responsibilities:

• Design, develop, and fine-tune Generative AI solutions using models like Google s Gemini for tasks such as information extraction, document summarization, and report generation.
• Architect and implement advanced Retrieval-Augmented Generation (RAG) systems to enhance model accuracy and provide verifiable, context-aware responses.
• Research and apply emerging GenAI techniques, such as agentic frameworks, to build more autonomous and capable systems.
• Design and deploy a wide range of ML models (classification, regression, forecasting, etc.) on Google Cloud Platform.
• Build and maintain robust, automated MLOps pipelines for data preprocessing, feature engineering, model training, validation, and deployment using tools like Vertex AI and BigQuery.
• Conduct deep data analysis to uncover insights, validate hypotheses, and guide feature engineering for improved model performance.
• Partner closely with data scientists, software engineers, and other business stakeholders to frame problem statements, define technical requirements and deliver integrated AI/ML solutions.
• Champion best practices in software engineering and MLOps to ensure the quality, maintainability, and scalability of machine learning systems.
• Continuously evaluate and stay current with the latest advancements in the ML and GenAI landscape.

Nice to Have:

• Master s or PhD in a relevant field.
• Specific experience with Google Cloud Platform services like Vertex AI, BigQuery, Google Cloud Storage, and GKE.
• Experience building RAG systems from the ground up.
• Proven ability to lead technical projects and mentor other engineers.

Skills:

• Python.
• PyTorch.
• scikit-learn.
• Pandas.
• SQL.
• Generative AI.
• Gemini.
• Google Cloud Platform (Google Cloud Platform).
• Vertex AI.
• BigQuery.
• MLOps.
• RAG systems.

Qualification And Education:

• Bachelor s degree in Computer Science, Data Science, Statistics, or a related quantitative field.

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• Medical, Dental, and Vision Insurance
• 401(k) Retirement Plan
• Health Savings Account (HSA)
• Disability Insurance (Short-Term and Long-Term)
• Life and AD&D Insurance
• Paid Sick Leave (where required by applicable state or local law)
• Supplemental Insurance Plans
• Identity Theft Protection
• Pet Insurance
• Employee Wellness Programs
• Employee Assistance Program (EAP)
• Career Growth and Professional Development Opportunities