Bangalore, India Category Digital(IT) Posted Date 07/28/2026 Job Id 365350

About Signify

Through bold discovery and cutting-edge innovation, we lead an industry that is vital for the future of our planet: lighting. Through our leadership in connected lighting and the Internet of Things, we're breaking current ground in data analytics, AI, and smart solutions for homes, offices, cities, and beyond.

At Signify, you can shape tomorrow by building on our incredible 125+ year legacy while working toward even bolder sustainability goals. Our culture of continuous learning, creativity, and commitment to diversity and inclusion empowers you to grow your skills and career.

Join us, and together, we’ll transform our industry, making a lasting difference for brighter lives and a better world.

More about the role

Job Summary

Builds and supports scalable Machine Learning (ML) and MLOps systems, enabling reliable model deployment through modern architectures such as microservices and containerized environments. Works closely with data scientists and engineers to operationalize models,



improve performance, and integrate intelligent components including multi-agent systems into production workflows.

Key Areas of Responsibility:
- Contribute to the design and implementation of scalable ML infrastructure supporting model training, deployment, and inference.- Package ML models and services using Docker and deploy them using orchestration platforms such as Kubernetes to ensure scalability, portability, and reliability.
- Monitor production systems for model performance, latency, and drift; support optimization and improvements.
- Build and maintain CI/CD pipelines for ML workflows, including versioning, testing, and automated deployment.
- Develop and maintain scalable data pipelines for batch and real-time processing to support model training and inference.
- Contribute to the development of multi-agent or agent-based solutions (e.g., orchestration of LLM agents, task-specific ser

📌 Ml Operations Engineer (Bengaluru)
🏢 Signify
📍 Bengaluru