We are looking for an experienced Data Science & Machine Learning Engineer with solid expertise in AI/ML, Python, and Deep Learning to develop, deploy, and optimize machine learning solutions.
Key Responsibilities
Develop and deploy ML/AI models using Python.
Work with ML frameworks like PyTorch, TensorFlow, or similar tools.
Build and maintain model deployment solutions using REST/gRPC services and batch pipelines.
Implement MLOps practices including MLflow, pipelines, and model monitoring.
Work with data pipelines, preprocessing, and feature engineering workflows.
Support ML solutions across cloud or on-premise environments.
Required Skills
Robust proficiency in Python
Machine Learning & Deep Learning concepts
PyTorch / TensorFlow / Scikit-learn
Model Deployment & MLOps
REST API / gRPC
Docker & Kubernetes (preferred)
Cloud platforms (AWS/Azure/GCP) exposure preferred
Notice Period: Immediate Joiners Preferred
Experience: 6–9 years in AI/ML Engineering, Data Science, or related roles.