What you’ll do:
- Key responsibilities include:
- Design, develop, and maintain AI/ML models and solutions to address business needs.
- Manage AI infrastructure, including model training, deployment, and runtime environments.
- Monitor model performance, system health, and resource utilization to ensure reliability and SLA compliance.
- Troubleshoot AI systems, perform root cause analysis, and drive continuous improvements.
- Support end-to-end AI lifecycle across Dev, Test, UAT, and Production with CI/CD and versioning practices.
- Enforce security, access control, data privacy, and compliance standards for AI systems and datasets.
Qualifications:
- Bachelor’s degree in computer science, engineering, or related field. A master’s degree in AI, Machine Learning, or Data Science is preferred.
- 8-12 years of total experience with 4+ years of development experience in AI / ML / Intelligent Automation Domain
Skills:
- Exposure to widely used AI/ML frameworks and platforms with a strong understanding of model architectures and deployment patterns
- Strong programming experience with widely used languages in AI / MLOps domain, such as, Python, SQL, Java etc
- Knowledge of data engineering and AI workflows, including integration with data sources, APIs, and enterprise systems (minimum 4 years preferred)
- Experience in data modeling, feature engineering, and working with structured/unstructured datasets (experience with visualization or analytical tools is a plus)
- Valuable understanding of AI/ML infrastructure, including cloud platforms, containers, and model serving frameworks
- Basic understanding with networking concepts (APIs, endpoints, ports, security layers) relevant to deploying and consuming AI services
- Experience in customizing or fine-tuning models (e.g., LLM fine-tuning, prompt engineering) is an advantage
- Good understanding of MLOps/AI lifecycle processes, including model training, validation, monitoring, and retraining
- Knowledge of change management wor
📌 Lead Analyst (Pune)
🏢 Eaton
📍 Pune