Senior Machine Learning Engineer

Overview

Senior Machine Learning Engineer to develop and implement AI products, including building new machine learning models and refining existing systems.

What you'll do

• Design and manage CI/CD pipelines for ML models using MLflow, Kubeflow, or SageMaker.
• Automate model training, validation, and deployment workflows.
• Architect and maintain scalable ML infrastructure on AWS, Azure, and GCP.
• Support distributed training and real-time inference systems.
• Implement monitoring for model drift, performance, and data integrity.
• Ensure compliance with data governance, privacy, and security standards.
• Mentor junior ML engineers and work with data scientists, software engineers, and DevOps.

What you'll need

• 8-10 years of experience in software engineering, data science, or ML Ops.
• Bachelor’s or Master’s degree in Computer Science, Data Engineering, or related field.
• Strong proficiency in Python, Docker, Kubernetes, and cloud-native ML tools plus Computer Vision.
• Experience with ML lifecycle platforms such as MLflow, TFX, or Airflow.
• Deep understanding of model versioning, reproducibility, and deployment strategies.

Details

• Location: Bangalore, Karnataka, India.