ML Operations Engineer

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

Required Skills : Strong Data Engineering background with specific ML Ops experience and some exposure to Data Science/AI

Basic Qualification :

Additional Skills :

Background Check : Yes

Drug Screen : Yes

Notes :
Selling points for candidate :
Project Verification Info :
Candidate must be your W2 Employee :Yes
Exclusive to Apex :No
Face to face interview required :No
Candidate must be local :No
Candidate must be authorized to work without sponsorship ::No
Interview times set : :No
Type of project :
Master Job Title :
Branch Code :