Role & Responsibility :

We are seeking an experienced MLOps & AIOps / GCP Engineer to join the Gemini domain team. This role focuses on designing, building, and operating secure, scalable, production grade ML and GenAI platforms on Google Cloud Platform (GCP), enabling reliable model training, deployment, monitoring, and incident response. You will collaborate with data scientists, platform engineers, and product teams to operationalize ML/GenAI use cases (including agentic workflows) and ensure high availability through robust production support, automation, and observability practices.

Required Technical Skills :

Programming & Engineering :

- Python (production-grade development, packaging, testing, performance profiling)

- Strong understanding of APIs/microservices patterns, containerization, and runtime optimization

Cloud Technologies (Primary : GCP) :

- Hands-on experience with Google Cloud Platform, including (as relevant) :

- Vertex AI (pipelines, training, endpoints, model registry, monitoring)

- Cloud Storage, BigQuery, Pub/Sub

- Cloud Run and/or GKE

- Cloud Logging/Monitoring, IAM, Secret Manager, VPC networking

Data/ML/MLOps Platforms (any of the below) :

- Experience with at least one : Vertex AI / Databricks / Amazon SageMaker / Azure

Machine Learning :

- MLOps fundamentals : pipeline orchestration, model registry, lineage, reproducibility, model monitoring, and automated retraining

GenAI / Agentic Frameworks (Mandatory) :

- Working knowledge of LangChain and LangGraph

- RAG patterns, prompt and response handling, tool/function calling concepts, evaluation approaches

Databases / Vector Stores (Any) :

- Experience with databases and/or vector DBs (e.g., pgvector, Pinecone, Weaviate, Milvus, Elastic, OpenSearch, etc.)

- Understanding of embeddings lifecycle, indexing strategies, and retrieval performance considerations

DevOps / CI-CD :

- GitHub CI/CD (e.g., GitHub Actions), branching strategies, release workflows

Required Experience :

- Must be proficient in GCP and related tech stack

- Needs to know DevOps concepts using Github CI/CD

- Must have worked on production support and aware of GenAI release management

- Needs to know concepts of AI Ops, MCP server, Apigee.

- At least 8+ years of work experience, at least 3+ years with GCP.