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.
• Collaborate with Data Science and DevOps teams.

Required Skills: 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. Preferred Skills: SageMaker, Azure ML, Vertex AI, Ray, Airflow, Dataiku. For applications and inquiries, contact:hirings@openkyber.com