Job highlights

- Needs to know concepts of AI Ops,MCP server,Apigee. At least 8+ years of work experience,at least 3+ years with GCP. Disclaimer: This job posting has been aggregated from external source
- Required Technical Skills
- Required Experience . Must be proficient in GCP and related tech stack
- Must have worked on production support and aware of GenAI release management

EXP :- 8-9 years Job Type :- Noida /Remote

- MLOps AIOps / GCP Engineer

Primary Tech Stack: Python, GCP, Vertex AI, GitHub CI/CD, LangChain, LangGraph

Role Summary

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, productiongrade

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)

Solid understanding of APIs/microservices patterns, containerization, and runtime optimization

Cloud Technologies (Primary: GCP)

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

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

o Cloud Storage,



BigQuery, Pub/Sub o Cloud Run and/or GKE o 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.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 MLOps & AIOps / GCP Engineer (Noida)
🏢 Sparix Global
📍 Noida