Machine Learning Engineer (AI/ML)

Role Overview

We are looking for an experienced Data Science & Machine Learning Engineer with strong 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

• Strong 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.