Lead Machine Learning Engineer

Key Skills & Qualifications:Python Expertise: Advanced knowledge of Python for machine learning applications, including ML frameworks such as PyTorch, TensorFlow, and XGBoost.AWS Proficiency: Strong experience with core AWS services, including EC2, S3, SageMaker, CloudWatch, and understanding of account setup, infrastructure basics (e.g., ALBs), and automation tools (CloudFormation, Terraform).CI/CD Process: Understanding of software CI/CD and ML CI/CD, including pipelines for code, model experimentation, testing, and deployment.MLOps Knowledge: Familiarity with MLOps practices, including model experimentation, testing, monitoring, and version control.Containerization: Experience working with containers on AWS (Docker, ECR, ECS) and deploying containerized ML solutions in SageMaker.