Python Engineer - Artificial Intelligence / Machine Learning

We are looking for an experienced AIML Python Engineer with strong expertise in building, deploying, and maintaining end-to-end ML pipelines and APIs. The ideal candidate will have deep hands-on experience with Python, AWS SageMaker, CI / CD for ML workflows, and scalable data processing frameworks. You will be responsible for enabling real-time, batch, event-triggered, and edge ML deployments while collaborating with cross-functional teams to deliver high-quality solutions.

Key Responsibilities :

• Design, develop, and maintain ML workflows and pipelines using Python.
• Deploy ML models in real-time, batch, event-driven, and edge environments.
• Implement and manage ML pipelines using AWS SageMaker (Pipelines, MLflow, Feature Store).
• Build and deploy APIs for ML workflows using FastAPI, Flask, or Django.
• Ensure APIs are secure, scalable, and optimized for performance.
• Work on end-to-end ML lifecycle : model development, training, validation, deployment, and monitoring.
• Apply ML frameworks & libraries such as Scikit-learn, PyTorch, XGBoost, LightGBM, MLflow.
• Implement CI / CD pipelines for ML workflows using Bitbucket, Jenkins, Nexus, and other tools.
• Use Autosys (or similar) for job scheduling and workflow automation.
• Develop ETL pipelines using PySpark, Kafka, AWS EMR Serverless.
• Handle large-scale data ingestion, transformation, and feature engineering for ML systems.
• Collaborate with data scientists, data engineers, and DevOps teams.
• Advocate for MLOps best practices including versioning, reproducibility, monitoring, and scalability.
• Contribute to process improvement and innovation in ML system design and deployment.

Required Skills & Qualifications :

(ref : hirist.tech)