Software Development Engineer I - Machine Learning

Responsibilities :

• Design and develop scalable ML pipelines for structured / tabular data.
• Collaborate with Data Scientists to convert notebooks / models into production-ready services.
• Own end-to-end lifecycle of ML systems : feature engineering, training, evaluation, deployment, and monitoring.
• Build robust data preprocessing and transformation pipelines.
• Ensure model reproducibility, versioning, and traceability via tools like MLflow, DVC, or custom setups.
• Implement real-time and batch inference infrastructure where needed.
• Work on continuous training (CT) and online learning systems for time-sensitive use cases.
• Collaborate with MLOps / Data Engineering teams to optimize model serving, latency, and observability.
• Contribute to improving experiment velocity via automation, tooling, and modularization.

Requirements :

Preferred Qualifications :

(ref : hirist.tech)