ML Engineer

About the Role
Join our diverse team of Data Scientists as an ML Engineer based in Hyderabad or remotely. You will deliver machine learning methods into production efficiently.

Key Responsibilities:
• Design, develop, and maintain robust ML pipelines for high reliability and scalability.
• Build scalable infrastructure to deploy algorithms across image, text, audio, and tabular data types.
• Optimize AI models specifically for latency, memory constraints, and throughput requirements.
• Develop CI/CD pipelines and containerize production applications using Docker.
• Automate workflows within the Data Science team to boost productivity.
• Monitor and troubleshoot production ML systems with robust alert mechanisms.
• Collaborate cross-functionally across data and engineering teams.

Key Skills Required:
• 2-5 years of experience in Computer Science, Engineering, or related fields (B.S./M.S.).
• Strong Python proficiency with PyTorch or TensorFlow expertise.
• Deep understanding of ML metrics and optimization techniques.
• Solid grasp of version control systems like Git and data versioning tools.
• Experience managing models, tracking experiments (e.g., MLflow, DVC), and applying MLOps best practices.

Good to Have:
• Azure ecosystem experience, particularly Azure Machine Learning.
• Proficiency in Gitlab CI, Jenkins, Grafana, and Docker.
Excellent API design and concurrency skills.