Principal Machine Learning Engineer

CoHire; Bengaluru; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

CoHire in Bengaluru leads enterprise ML initiatives, delivering production-grade AI systems to improve customer experience, risk management, and operational efficiency. The role guides end-to-end ML design, deployment and governance across business units, with a strong emphasis on scalable architectures and reliable pipelines.

You will mentor senior and junior ML engineers, collaborate with data scientists and architects, and drive innovation in predictive, generative, and agentic AI solutions

Qualifications

• 10+ years software and ML engineering experience.
• 5+ years building production AI solutions.
• Financial services experience preferred.

Responsibilities

• Design scalable ML architectures and pipelines.
• Lead development of predictive, generative and agentic AI solutions.
• Build and optimise model training and inference platforms.
• Develop MLOps best practices and automation frameworks.
• Ensure model governance, explainability and monitoring.
• Work closely with Data Scientists, Architects and Business stakeholders.
• Mentor junior ML Engineers and technical teams.

Tools

Python

PyTorch

TensorFlow

Scikit-learn

Spark

Databricks

Azure Machine Learning

Kubernetes

Docker

CI/CD

MLOps frameworks

Job description

Lead the design, development and operationalisation of machine learning solutions across the enterprise, driving the deployment of production-grade AI systems that enhance customer experience, risk management, operational efficiency and decision intelligence.

• Design scalable ML architectures and pipelines
• Lead development of predictive, generative and agentic AI solutions
• Build and optimise model training and inference platforms
• Develop MLOps best practices and automation frameworks
• Ensure model governance, explainability and monitoring
• Work closely with Data Scientists, Architects and Business stakeholders
• Mentor junior ML Engineers and technical teams

• Python
• PyTorch
• TensorFlow
• Scikit-learn
• Spark
• Databricks
• Azure Machine Learning
• Kubernetes
• Docker
• CI/CD
• MLOps frameworks

Experience

• 10+ years software and ML engineering
• 5+ years building production AI solutions
• Financial services experience preferred