Role & responsibilities

Gen AI ML Sr Engineer

Preferred candidate profile

Responsibilities:

- Lead design, development, delivery and scaling of ML, LLM and agentic solutions to deliver measurable business impact across.
- Build and contribute hands-on to robust ML pipelines, workflows and modeling efforts, ensuring reproducibility, solid CI/CD integration, data/feature consistency and high standards for code quality, testing and deployment
- Drive integration of AI/ML capabilities into enterprise applications, enabling seamless adoption and value realization
- Own and drive system architecture decisions to ensure scalable, reliable, cost-efficient and maintainable AI/ML solutions
- Establish and promote reusable frameworks, patterns and engineering standards to improve team productivity and solution scalability across teams

Competencies:

- Scalable AI/ML Systems & Deployment Engineering
- Productionize ML, LLM/GenAI models and agentic systems into reliable, high-performance services with optimized latency, throughput and cost efficiency




- Design, build and operate scalable batch and real-time ML pipelines for training & inference with strong reproducibility across environments
- Build and orchestrate automated end-to-end ML workflows, integrating CI/CD practices and ensuring data & feature consistency across environments
- Lead end-to-end productionization of AI/ML solutions, including enterprise integration via microservices, APIs and Docker based containerization
- Apply advanced MLOps practices, including scalable system design, production-grade engineering, ML governance and robust monitoring
- Manage full ML lifecycle, including versioning, governance, automated retraining and resilient deployment strategies
- Demonstrate hands-on expertise in Git/Azure DevOps and modern build/test/deploy tools, with experience in enterprise ML platforms (e.g., Databricks MLflow, AI Foundry)

📌 AI ML Sr Engineer/Specialist (Chennai)
🏢 HCLTech
📍 Chennai