What are the responsibilities and job description for the ML Operations Engineer position at Camelot Integrated Solutions Inc?
Job Details
AWS Machine Learning Operations Engineer Role: Deploying ML Models in AWS Utilize Python and Python API s and Python libraries to design and engineer data solutions Building data pipelines Adjusting ML Models and working with Data Scientist to adjust/optimize queries Address issues with data latency Utilize Sagemaker Requirements: 5 years of experience working in Python software development and building data pipelines Strong ETL skills Experience deploying ML Models in AWS cloud Experience tweaking machine-learning models for deployment at scale. Experience with CI/CD and DevOps automation such as Jenkins Experience with AWS services such as Sagemaker, Lambda, SQS, SNS, Athena, Glue, and ECR Experience with DevOps automation such as Terraform Prior experience on AI, Machine Learning/Deep Learning projects Desire to work in a collaborative environment focusing on continuous learning; code review, and pair programming
