Mlops/AI Engineer - (GCP, Vertex AI, Watsonx, Agentic AI)

CIEL HR; Chennai District; On-site; INR 2,500,000 - 5,500,000; Full time

Job summary

CIEL HR seeks an experienced AI leader to own the full AI lifecycle, from requirements to deployment and monitoring, focusing on GenAI applications, orchestration, and production-ready MLOps.

You will lead a cross-functional team, optimize Vertex AI and watsonx, implement governance, and drive measurable business impact through backlogs and milestones.

Qualifications

• 4+ years in Data Science, MLE/MLOps, or GenAI Engineering.
• Led at least one end-to-end project to production.
• Strong cross-functional collaboration and business impact.
• Experience with Google Cloud Vertex AI and IBM watsonx governance.

Responsibilities

• Own the full AI lifecycle from requirement negotiations to deployment and monitoring.
• Design and scale LLM applications using LangChain and LangGraph.
• Lead hybrid platform involving Vertex AI and watsonx governance.
• Oversee CI/CD/CT pipelines and IaC integration.
• Implement responsible AI monitoring for drift and bias.
• Mentor AI engineers and data scientists; manage backlog and milestones.

Skills

Data Science

MLE/MLOps

GenAI Engineering

Project leadership

Education

Bachelor's degree in Computer Science, Information Systems, Engineering, or related field

Tools

GCP Vertex AI

IBM watsonx

Python

LangChain/LangGraph

Git

Docker

Kubernetes

SQL

Job description

Key Responsibilities

• End-to-End Solution Leadership: Own the full AI lifecycle: from requirement negotiation with stakeholders to technical architecture, deployment, and post-production monitoring.
• GenAI & Agentic Orchestration: Design and scale sophisticated LLM applications using LangChain and LangGraph. Build multi-agent systems capable of reasoning, tool-use, and workflow automation/decision support for logistics use cases.
• Hybrid Platform Oversight: Serve as the technical lead for our AI stack, optimizing Google Cloud Vertex AI for model training/serving and IBM Watsonx for enterprise-grade governance and scaling.
• Production-Grade MLOps: Ensure the team builds robust CI/CD/CT (Continuous Training) pipelines. Oversee the integration of IaC, vector databases, feature stores, and automated evaluation frameworks.
• Responsible AI & Governance: Implement model monitoring for drift, bias, and "hallucinations" (for GenAI) using watsonx.governance, ensuring compliance with enterprise standards.
• People & Project Leadership: Translate business goals into measurable AI outcomes; manage backlog, risks, timelines, and documentation. Mentor a cross-functional team of AI Engineers and Data Scientists. Act as the "Player-Coach" who can perform deep code reviews while managing project milestones and executive expectations.

Required Qualifications, Skills

• 4+ years relevant in Data Science, MLE/MLOps, or GenAI Engineering; 1+ end-to-end project led to production (ownership of designdeploymonitor).
• Depth in one track, plus working breadth across:
• ML/DS: problem framing, feature engineering, model selection, evaluation.
• GenAI: prompt engineering, RAG, agentic patterns, tool use.
• MLOps: CI/CD for ML, observability, rollback, cost/perf tuning.
• Stack: GCP/Vertex AI, IBM watsonx, Python, LangChain/LangGraph (or equivalent orchestration), Git, Docker/Kubernetes, SQL.
• Proven ability to lead cross-functional contributors and deliver measurable business impact.

Preferred Qualifications

• Experience with Vertex AI (Pipelines, Workbench, Endpoints, Model/Feature Registry) and watsonx.ai / watsonx.governance.
• Familiarity with vector databases and retrieval and RAG evaluation.
• Exposure to MLflow/Kubeflow/Airflow, Terraform/Helm, and LLMs (Gemini, Llama, MistralAI).
• Knowledge of responsible AI controls (evals, guardrails, red teaming) and basic compliance frameworks.
• Experience with production monitoring/incident response for ML/GenAI services (SLAs, on-call, postmortems).

Education

• Bachelors degree in Computer Science, Information Systems, Engineering, or related field