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
Solid 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

Advantages:
Health insurance
Provident Fund

Experience:
AI /ML Engineer: 5 years (Preferred)

Work Location: In person

📌 Senior Ai/ml Engineer Bengaluru (India)
🏢 Jobbycart Technologies
📍 India