Senior Machine Learning Engineer

Title- MLOps Lead

Location- Dallas TX

Required Skills:

• Overall 10 years of experience with 4 years of experience in MLOps, Machine Learning Engineering, or a related DevOps role with a focus on ML workflows
• Extensive hands-on experience in designing and implementing MLOps solutions on AWS. Proficient with core services like SageMaker, S3, ECS, EKS, Lambda
• Strong coding proficiency in Python. Extensive experience with automation tools, including Terraform for IaC and GitHub Actions.
• A solid understanding of MLOps and DevOps principles. Hands-on experience with MLOps frameworks like Sagemaker Pipelines, Model Registry, Weights.
• Expertise in developing and deploying containerized applications using Docker and orchestrating them with ECS and EKS.
• Experience with model testing, validation, and performance monitoring.
• Good understanding of ML frameworks like PyTorch or TensorFlow is required .
• Excellent communication and documentation skills, with a proven ability to collaborate with cross-functional teams.