MLOps & AIOps Engineer (GCP)

MLOps & AIOps Engineer (GCP)

Job Title: MLOps & AIOps Engineer (GCP) Employment Type: Full-time / Contract (C2C) Experience: 8–9 Years Work Mode: Hybrid

Job Summary

We are looking for an experienced MLOps & AIOps Engineer with strong expertise in Google Cloud Platform (GCP) to design, build, and manage secure, scalable, production-grade Machine Learning and Generative AI platforms. The ideal candidate will have hands-on experience in deploying ML models, automating CI/CD pipelines, supporting production environments, and implementing enterprise MLOps best practices.

You will work closely with Data Scientists, Platform Engineers, and Product Teams to operationalize AI and GenAI use cases while ensuring high availability, automation, monitoring, and performance optimization.

Key Responsibilities

Design and develop scalable MLOps solutions on Google Cloud Platform.

Build, deploy, and manage ML and Generative AI workloads using Vertex AI.

Develop and maintain automated CI/CD pipelines using GitHub Actions.

Deploy, monitor, and optimize machine learning models in production.

Implement model monitoring, automated retraining, and performance tracking.

Collaborate with cross-functional teams to operationalize AI and GenAI solutions.

Support production environments and manage AI application releases.

Build and maintain Agentic AI workflows using LangChain and LangGraph.

Implement monitoring, logging, security, and observability best practices.

Troubleshoot production issues and ensure platform reliability.

Required SkillsProgramming

Python

REST APIs

Microservices

Containerization

Google Cloud Platform

Vertex AI

Cloud Storage

BigQuery

Pub/Sub

Cloud Run

GKE

IAM

Secret Manager

Cloud Logging & Monitoring

VPC Networking

MLOps

ML Pipeline Orchestration

Model Deployment

Model Registry

Model Monitoring

Automated Retraining

ML Lifecycle Management

Generative AI

LangChain

LangGraph

Retrieval-Augmented Generation (RAG)

Prompt Engineering

Tool/Function Calling

AI Model Evaluation

Databases / Vector Stores

Experience with one or more of the following:

Pinecone

Weaviate

Milvus

pgvector

Elasticsearch

OpenSearch

DevOps

GitHub Actions

GitHub CI/CD

Release Management

Branching Strategies

Required Experience

8+ years of overall IT experience.

Minimum 3+ years of hands-on experience with Google Cloud Platform (GCP).

Strong experience in designing and implementing enterprise MLOps solutions.

Experience working with Vertex AI or other ML platforms such as SageMaker, Databricks, or Azure ML.

Hands-on experience with GitHub CI/CD and DevOps practices.

Experience supporting production AI/ML applications.

Good understanding of AI Ops concepts.

Knowledge of MCP Server and Apigee.

Experience in GenAI release management and production deployments.

Preferred Qualifications

Experience building enterprise-scale Generative AI applications.

Strong understanding of cloud security and infrastructure best practices.

Excellent analytical, troubleshooting, and communication skills.

Ability to work in a collaborative Agile environment.

Pay: ₹80,000.00 - ₹90,000.00 per month

Experience:

overall IT experience.: 8 years (Required)

Google Cloud Platform (GCP): 3 years (Required)

Work Location: Hybrid remote in Noida, Uttar Pradesh