Responsibilities

• Design, build, and deploy AI/ML solutions using GCP Vertex AI, BigQuery ML, and AI Platform for model training, deployment, and serving
• Develop and maintain platform services for AI agent orchestration, RAG pipelines, and LLM integration using Python, FastAPI, and Flask
• Collaborate with cross-functional teams to support CI/CD pipelines for ML models, GitLab workflows, and MLOps automation
• Work with GCP services including Cloud Functions, Cloud Run, Dataflow, and Pub/Sub to build event-driven AI architectures
• Build and optimize data pipelines using BigQuery, Dataflow, and Apache Airflow for AI model training and inference
• Contribute to automation, observability, and reliability initiatives for AI systems using GCP Cloud Operations and New Relic
• Lead and mentor team members in AI/ML engineering best practices, fostering a culture of learning and innovation
• Explore and integrate cu...