What's the role?

As an ML Engineer II, you will help build and operate the platforms, tools, and pipelines that support machine learning throughout its lifecycle. You will work with experienced engineers and researchers to improve automation, scalability, observability, and reliability across production ML systems.You will:

• Develop and maintain machine learning pipelines covering data processing, model training, evaluation, deployment, and monitoring.

• Support model-serving infrastructure for batch and real-time inference workloads.

• Contribute to CI/CD automation, testing, version control, and deployment processes for machine learning applications.

• Work with containerized and cloud-native technologies such as Docker and Kubernetes to support scalable ML environments.

• Build monitoring and observability capabilities that help identify performance issues, model degradation, and operational risks.

• Partner with ML engineers, researchers, and data teams to improve the reliability, reproducibility, and efficiency of machine learning workflows.





• Explore and adopt new tools, MLOps practices, and engineering approaches that help accelerate machine learning development and delivery.

Who are you?

You enjoy solving technical problems, learning recent technologies, and building scalable systems that help others succeed. You are comfortable working in a collaborative environment and are excited to grow your expertise in machine learning engineering and MLOps.
You will be successful in this role if you bring:

• A Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, Mathematics, or a related field.

• 1-4 years of experience in machine learning engineering, MLOps, platform engineering, software engineering, or a related technical area.

• Strong programming skills in Python and a solid understanding of software engineering fundamentals, including testing, code quality, and version control.

• Familiarity with machine learning workflows,

📌 AI ML Engineer (Mumbai)
🏢 HERE Technologies
📍 Mumbai