This Machine Learning Operations Manager role involves overseeing the entire ML lifecycle – from model training and deployment to monitoring and optimization. The role requires a strong technical background and collaboration skills, focusing on scalability, reliability, and automation. It's a full-time, remote position based in India.
Requirements
- 5+ years of hands-on experience in MLOps or ML/AI Engineering
- Strong understanding of ML/DL concepts and experience with model training and deployment infrastructure
- Proficiency with cloud-native ML tools (e.g., GCP Vertex AI, AWS SageMaker, Kubernetes)
- Experience working across both model training and inference systems
- Familiarity with model optimization methods (quantization, distillation, TensorRT, FasterTransformer)
- Demonstrated ability to lead complex technical projects independently
- Excellent communication and collaboration skills