Machine Learning Engineer

• Design and maintain end-to-end ML pipelines for data ingestion, model training, validation, and deployment.
• Build CI/CD workflows for model deployment.
• Implement model versioning, tracking, and experiment management using tools such as MLflow or Weights & Biases.
• Collaborate in ML, CV, and NLP projects to streamline the transition from research to production.
• Establish best practices for reproducibility, security, and management of ML systems.
• Integrate edge AI frameworks (TFLite, ONNX Runtime) to deploy models directly on BHOUT’s devices.
• Support continuous learning pipelines, enabling models to adapt with new data from live training sessions.

MLOps

Senior Machine Learning Engineer, AI/ML Infrastructure – GenAI Platforms

Machine Learning Engineer II, AI/ML Infrastructure, GenAI Platforms

MLOps Specialist – AI & Data Hub

AI Tech Lead – Founding Engineer

Staff Machine Learning Engineer