AI/ML Platform Engineer

· We are seeking a Senior AI/ML Platform Engineer to build enterprise-scale Machine Learning platforms supporting model development, deployment, monitoring, and governance.

· The ideal candidate should have strong expertise in MLOps, LLMOps, cloud-native AI platforms, Feature Stores, and scalable ML infrastructure.

Key Responsibilities

· Design enterprise AI/ML platforms and reusable ML pipelines.

· Build scalable MLOps and LLMOps workflows.

· Develop model training and deployment pipelines.

· Implement Feature Stores and Model Registry.

· Build CI/CD pipelines for ML applications.

· Monitor model performance, drift, and data quality.

· Develop REST APIs for model serving.

· Deploy workloads on Azure, AWS, or Google Cloud Platform.

· Implement Responsible AI and model governance.

· Python

· SQL

· Machine Learning

· MLOps

· LLMOps

· MLflow

· Kubeflow

· Feature Store

· Model Registry

· Docker

· Kubernetes

· FastAPI

· REST APIs

· Git

· Azure / AWS / Google Cloud Platform

· CI/CD

Mandatory Skills

· Python

· Machine Learning

· MLOps

· LLMOps

· MLflow

· Kubeflow

· Feature Store

· Docker

· Kubernetes

· Azure/AWS/Google Cloud Platform

· FastAPI

· CI/CD