What are the responsibilities and job description for the ML Operations Engineer - Durham, NC ( Hybrid ) position at Tek Ninjas?
Job Details
Job Title : AWS Machine Learning Operations Engineer
Location : Durham, NC ( Hybrid )
Contract : 6-10 months
About the 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
Required Skills : Strong Data Engineering background with specific ML Ops experience and some exposure to Data Science/AI
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