Associate Software Engineer – III

Role Overview

As a Core Engineer, you will write and ship production-grade Python and SQL to manage high-volume healthcare data. You will transition models and LLM pipelines from notebooks into scheduled, instrumented production services, ensuring reliability through robust logging, monitoring, and evaluation frameworks.

Responsibilities

• Write and ship production-grade Python and SQL for sensitive healthcare data.
• Turn models and LLM pipelines into scheduled, instrumented production services.
• Build and maintain data, model, and application pipelines with logging and monitoring.
• Develop evaluation sets and metrics for offline and online model performance.
• Triage and fix issues in live systems and implement preventative testing.
• Optimize cost, latency, and reliability of ML and AI services.
• Focus areas include Machine Learning & Modeling, AI/GenAI Engineering (RAG/Agentic pipelines), or ML Platform & MLOps.

Requirements

• B.E./B.Tech in Computer Science, Information Technology, or related disciplines from premier institutes (IITs, NITs, etc.).
• Minimum aggregate CGPA of 8.0.
• 0–1 years of experience.
• Proficiency in Python, data structures, and algorithms.
• Experience with SQL and working with large-scale data.
• Demonstrated experience building at least one ML or AI system outside of a notebook environment.
• Understanding of data leakage, distribution shift, and production success metrics.

Nice to Have

• Exposure to AWS, GCP, or Azure and containerized deployment.
• Hands-on with Airflow, Kubeflow, Feast, or MLflow.
• Practical RAG or agentic work with LLM evaluation and observability.
• Experience in healthcare or regulated domains.

Skills

• Python
• SQL
• Machine Learning
• LLM
• MLOps