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Career Family: AIA –AI MLOPS_ Engineer
The opportunity
We are seeking a agile
Senior Consultant
to join our
AI & Data Consulting
team, focused on driving
AI-driven transformations.
The ideal candidate will be responsible for operationalizing Machine Learning and Generative AI solutions at scale. The role focuses on Building, deploying, monitoring, and governing ML and LLM‑based systems across the full AI lifecycle, ensuring reliability, scalability, performance, and compliance.

The individual will work closely with data scientists, AI engineers, and DevOps teams to enable production‑grade AI platforms and support enterprise AI and Agentic AI initiatives.

Your Key Responsibilities
- MLOps / LLMOps Engineering
- Design, build, and maintain end‑to‑end MLOps and LLMOps pipelines covering experimentation, training, deployment, monitoring,



and retraining.
- Operationalize ML and LLM models for production environments with high availability and scalability.
- Implement best practices for model versioning, artifact management, and reproducibility.
- CI/CD & Automation
- Develop and maintain CI/CD/CT pipelines for ML and GenAI workloads.
- Automate model packaging, deployment, validation, and rollback processes.
- Integrate AI pipelines with enterprise DevOps toolchains.
- API & Model Serving
- Design, develop, and deploy REST‑based inference services using Python frameworks such as Flask or FastAPI.
- Enable scalable and secure model serving for batch and real‑time use cases.
- Monitoring, Governance & Responsible AI
- Monitor model performance, data drift, and model drift in production environments.
- Support Responsible AI practices including robustness, explainability, and governance controls.
- Enable continuous feedback loops and ret

📌 EY - GDS Consulting - AIA - AI ML Ops Engineer - Manager (Bengaluru)
🏢 EY
📍 Bengaluru