MLOps Engineer

2 weeks ago


Anywhere in IndiaMultiple Locations Tachyon Technologies Full time

Role : MLOP's

Location : Remote

Job Description :

- Maintain and extend existing data science pipelines in AWS, with an emphasis on infrastructure as code (cloudformation)

- For the purposes of this engagement, extensions will be minimal and limited to those required to support the four identified workstreams.

- Maintain and create documentation on infrastructure usage and design (confluence, github wikis, diagrams)

- Serve as the internal infrastructure expert, providing guidance to data scientists deploying models into the pipelines

- Research new optimization opportunities based on the needs of specific data science products

- Work independently and collaboratively with data scientists to implement optimizations and improvements to specific projects deploying or being re-platformed within the infrastructure

Qualifications :

- Minimum of 5 years DevOps experience in AWS Cloud including managing ML Pipelines.

- Built and Executed at least 2 MLOps projects in AWS cloud using Sagemaker or other services.

- Experience building cloud infrastructure as code

- Expertise in MLOps best practices

- Foundational understanding of data science and data science best practice

- Experience AWS services (sagemaker, ECR, S3, lambda, step functions) is a must

- Should able write CloudFormation scripts for dev/test/prod environments

- Knowledge in Python

- Should be able to build Docker images independently

- AWS CodeCommit or Github (including github actions) experience is a must

(ref:hirist.tech)
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