Key Skills & Requirements:
- GenAI, ML and production-grade ML pipelines
- CI/CD, Git, Docker, Jenkins and scripting languages
- Cloud platforms – AWS / GCP / Azure
- Kubernetes and Kafka
- Python with TensorFlow, Keras or PyTorch
- Cloud build, deployment and orchestration tools
- MLOps tools such as MLflow, Kubeflow, Weights & Biases, AWS SageMaker, Vertex AI, DVC, Airflow, Prefect, etc.
- Statistical modeling, machine learning, data mining and unstructured data analytics
- Robust understanding of ML lifecycle and MLOps
- Hands-on experience in productionizing ML models
- Experience with data engineering pipelines
- Third-party integration experience is an added advantage
- Ability to work independently and collaboratively with cross-functional teams, architects and stakeholders across geographies
- Comfortable with both low-level technical implementation and high-level architecture evolution
Pay: ₹665,828.01 - ₹1,931,110.83 per year
Benefits:
- Health insurance
- Provident Fund
Experience:
- AI /ML Engineer: 5 years (Preferred)