MLOPS & AI- 5+ Years- Pan India

Title of Job –

Senior MLOps / LLMOps Engineer – GCP & Generative AI

Summary –

An exciting opportunity for an experienced MLOps/LLMOps Engineer to build, deploy, and scale enterprise-grade Machine Learning and Generative AI solutions on Google Cloud Platform (GCP). This role requires expertise in ML platform engineering, LLMOps workflows, cloud-native architectures, CI/CD automation, and AI model lifecycle management to support cutting-edge analytics and GenAI initiatives.

Location –

Gurugram / Bengaluru / Hybrid

Your Future Employer –

A global analytics and digital transformation organization delivering advanced AI, Machine Learning, MLOps, and Generative AI solutions for Fortune 500 clients across multiple industries.

Responsibilities –

• Design, build, and maintain scalable MLOps and LLMOps pipelines for deploying, monitoring, and managing ML and Generative AI solutions on GCP.
• Develop end-to-end ML lifecycle workflows including data ingestion, feature engineering, model training, validation, deployment, monitoring, and automated retraining.
• Build and manage LLMOps workflows including RAG pipelines, vector databases, prompt orchestration, model evaluation, guardrails, and observability frameworks.
• Implement CI/CD, Infrastructure as Code, model governance, security controls, and cloud-native deployments using Vertex AI, GKE, Cloud Run, Terraform, and related technologies.
• Collaborate with Data Scientists, ML Engineers, Product Teams, and DevOps stakeholders to productionize scalable AI and GenAI solutions while ensuring reliability, performance, and compliance.

Requirements –

• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Engineering, or a related discipline.
• 5–7 years of experience in Machine Learning Engineering, MLOps, ML Platform Engineering, or LLMOps environments.
• Strong hands-on expertise with Google Cloud Platform (GCP), including Vertex AI, BigQuery, GCS, Cloud Run, GKE, Cloud Functions, Pub/Sub, and IAM.
• Experience building LLMOps solutions involving RAG, vector databases, prompt engineering, LangChain, LangGraph, LlamaIndex, Hugging Face, and model observability frameworks.
• Strong proficiency in Python, SQL, Docker, Kubernetes, Terraform, GitHub Actions, Jenkins, MLflow, CI/CD automation, and cloud security best practices.

What is in it for you –

• Opportunity to work on next-generation AI, Generative AI, and LLM-powered solutions.
• Exposure to enterprise-scale ML platforms and cloud-native AI ecosystems.
• Work alongside world-class analytics, AI, and engineering professionals.
• Extensive learning, mentorship, and career growth opportunities.
• Opportunity to influence AI platform strategy and large-scale digital transformation programs.

Reach us –

If you think this role is aligned with your career, kindly write me an email along with your updated CV on dhruv.verma@crescendogroup.in for a confidential discussion on the role.

Disclaimer – Crescendo Global specializes in senior to C-level niche recruitment. We are committed to providing an exceptional and inclusive hiring experience. We do not discriminate based on race, religion, color, origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Note – We receive a large number of applications daily; in case you do not hear back from us within one week, please assume your profile has not been shortlisted.

Stay alert—scammers may misuse Crescendo Global’s name for fake job offers. We never ask for money or system upgrades. Verify all roles at www.crescendo-global.com

Scammers can misuse Crescendo Globals name for fake job offers. We never ask for money, purchases, or system upgrades. Verify all opportunities at www.crescendo-global.com and report fraud immediately. Stay alert!

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