AI/ML Architect, Agentic AI & MLOps
Overview
You will own the design and delivery of scalable machine learning systems, from data ingestion to model serving, at Laiba Technologies LLC in San Jose, CA. Working onsite, you will build and maintain ML pipelines that power production Agentic AI solutions using Python and ADK. You will implement automated workflows, ensure data quality, and manage model deployments. This hands-on role demands full lifecycle ownership and a focus on reliability in production.
What You'll Do8
- 1Design and implement end-to-end ML pipelines, from data ingestion to model serving, using Python and ADK.
- 2Build automated workflows for data preprocessing, feature engineering, and model training to ensure consistency.
- 3Manage model deployments in production, monitoring performance and handling versioning and rollbacks.
- 4Ensure data quality across sources, implementing validation checks and anomaly detection.
- 5Collaborate with data scientists to integrate Agentic AI components into production systems.
- 6Develop and maintain CI/CD pipelines for ML models, reducing deployment friction.
- 7Optimize model inference latency and throughput to meet service-level objectives.
- 8Document system architecture and operational runbooks for the MLOps team.
Requirements8
- 15+ years in MLOps or ML engineering, with a focus on building production-grade pipelines.
- 2Hands-on experience with Agentic AI frameworks and ADK.
- 3Strong programming skills in Python.
- 4Experience with containerization and orchestration tools such as Docker and Kubernetes.
- 5Familiarity with cloud platforms like AWS or Azure for model deployment.
- 6Proven ability to design automated data workflows and ensure data integrity.
- 7Experience with model monitoring and observability tools.
- 8Excellent problem-solving skills and ability to work onsite in San Jose, CA.
Salary Insight
Salary not disclosed in listing
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