Artificial Intelligence / Machine Learning Engineer - PyTorch / Data Ingestion

We are seeking a highly skilled AI / ML Engineer with strong expertise in Python programming, API development, and real-time deployment of ML models. The ideal candidate should have experience in designing, building, and optimizing machine learning pipelines and integrating models into production environments.

Key Responsibilities :

• Design, develop, and optimize machine learning models using Python and popular ML frameworks (TensorFlow, PyTorch, Scikit-learn, etc.).
• Implement end-to-end ML pipelines including data preprocessing, feature engineering, training, evaluation, and deployment.
• Build and manage RESTful APIs / gRPC services to expose ML models for real-time inference.
• Deploy and scale models in production environments (Docker, Kubernetes, cloud platforms such as AWS, GCP, or Azure).
• Ensure high availability, low-latency, and fault-tolerant real-time ML systems.
• Collaborate with data engineers and software teams to integrate ML solutions into existing applications.
• Conduct performance monitoring, optimization, and retraining of models as needed.
• Apply MLOps best practices for CI / CD pipelines, model versioning, and automated deployment workflows.
• Write clean, efficient, and production-grade Python code following software engineering best practices.

Required Skills & Experience :

Nice to Have :

(ref : hirist.tech)