Overview
Hybrid
Depends on Experience
Accepts corp to corp applications
Contract - Independent
Contract - W2
Contract - 12 Month(s)
Able to Provide Sponsorship
Skills
machine Learning
LLm
RAG
Architecture
Job Details
Role: AI/ML Sr/Lead/Architect (GenAI)
Location: San Francisco Bay Area (Hybrid & Locals)
Experience: 10 to 15 Years
Note :: Candidates should have hands-on experience in designing, developing, and architecting real-time Generative AI solutions, including model integration, prompt engineering, and end-to-end system deployment.
Key Responsibilities:
- Develop and manage MLOps pipelines on Google Cloud to support large-scale production applications.
- Implement infrastructure as code (IaC) using Terraform for scalable and automated deployments.
- Ensure CI/CD integration, model versioning, and efficient model retraining strategies. Collaborate with data scientists, software engineers, and DevOps teams to streamline ML workflows.
- Monitor model performance, troubleshoot issues, and ensure production stability.
Required Skills & Experience:
- 10-15 years of overall experience in MLOps, Machine Learning, or DevOps.
- Proven experience in designing, developing, and deploying Generative AI solutions (e.g., LLMs, prompt engineering, fine-tuning, RAG pipelines) in real-time or production-grade environments.
- Strong background in architecting end-to-end GenAI systems, including data ingestion, model selection/customization, inference optimization, and integration with user-facing applications or APIs.
- Proficiency in Google Cloud Run for deploying ML models as scalable services.
- Experience with Terraform for managing cloud infrastructure.
- Expertise in CI/CD pipelines, model monitoring, and cloud automation.
- Strong programming skills in Python and familiarity with ML frameworks.
- Ability to work hands-on while collaborating with cross-functional teams.
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