AI/ML Engineer

Experience Range: 4+ years Education: B.Tech / M.Tech From Tier 1 College only - in Computer Science, IT, Engineering, or related fieldsRole SummaryThe person is expected to act as the developer and scale anchor for AI/ML initiatives. This role is responsible for perform AI/ML experiments and convert them into reliable, observable, and scalable production systems that operate under real-world constraints. This includes ownership of deployment, monitoring, reliability, and scalability, ensuring AI/ML solutions operate predictably, observably, and cost-effectively in real-world environments.

Primary Focus● Develop AI Solutions using techniques like RAG , AI Agents , Prompt tuning etc.

● Productionization of AI/ML systems with focus on GenAI stack from experimentation to deployment

● Design and operation of data pipelines and learning workflows for AI/ML systems

● Deployment of models across batch, streaming, and real-time serving patterns

● Management of model artifacts, registries, and feature/representation stores

● Monitoring model performance, data drift, and retraining workflows

● Establishment and maintenance of Dev / Stage / Prod environments for AI/ML systems

Key Responsibilities● Design and operate scalable AI/ML systems with high reliability and availability

● Build and maintain CI/CD pipelines for AI/ML workflows (code, data, and models)

● Implement data validation, quality checks, and freshness guarantees

● Monitor system health,



data drift, and model drift with alerting and remediation strategies

● Optimize AI/ML systems for cost, latency, and operational efficiency

● Own post-deployment support, incident response, and continuous improvement

Core Requirements● Strong python , ML ,NLP transformers , AI concepts and hands on developing models

● Strong software engineering fundamentals with a solid understanding of AI/ML lifecycles

● Ability to design systems that operate under clear SLAs and failure modes

● Experience building and operating production systems with real-world constraints

● Solid collaboration skills when working with AI/ML engineer and platform teams

Technical Skills● Programming & Engineering: Python, pytorch , strong software design and debugging skills

● AI/ML Systems: ML , NLP , Model deployment patterns (batch, streaming, online), RAG pipelines, AI agents

● Data & Infrastructure: Data pipelines, distributed systems, Vector & No-SQL database

● Platforms & tooling: Cloud, containers (Docker/Podman), Kubernetes, orchestration, AI/MLflow

● CI/CD & AI/MLOps: CI/CD pipelines, github action workflow, workflow orchestration, model/version management

● Observability: Logging, metrics, alerts for AI/ML systems in production

Preferred Tools & Technologies● Python, Kubernetes, Docker, Splunk, MongoDB, Grafana, AI/MLFlow, Lang Graph, Azure AI/ML Studio, Jfrog, N8n

📌 AI ML Engineer (Gurugram)
🏢 Optum
📍 Gurugram