ML Operations Engineer
ML Operations Engineer
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Job Description
AWS Machine Learning Operations Engineer
Role:
Deploying ML Models in AWS
Utilize Python and Python APIs 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 machinelearning 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
Employment Type
Full Time
