Senior Associate, MLOps (Data / DevOps) Engineer

Summary of the Position :

Looking for a Sr MLOps Engineer with a strong background in Data Engineering, who aspire to be part of a Data Science & AI Operations function in R&D. This role involves applying advanced software engineering skills for the design, creation, management, and business use of large datasets, across a variety of Data / ML platforms. This is an ideal opportunity for individuals with a passion for applying DevOps Skills for AI / ML application development in the health-care sector.

Preferred Requirements :

M.S (preferred) or Ph.D. in Computer Science, Data Science, or related quantitative fields.

Proven experience in applying advanced software engineering skills in Data Science platforms (Data / ML)

Strong experience in using MLOps tools like AWS SageMaker, MLFlow and ML Frameworks like TensorFlow / PyTorch

Hands-on Experience in CI / CD using tools Terraform / CloudFormation, Git, Containers – Docker / Kubernetes, ECS / EKS, Helm Charts

Strong knowledge and Hands-on Experience with Data Lakes in building Data Pipelines using Python, Apache Spark, Lambda, Step Functions, SQL, Glue ETL in AWS

Working knowledge on Cloud Platforms & Infrastructure in AWS

Programming and Scripting knowledge using Python (Must needed), CLI / SDK / CDK

Ability to balance between Development and Research work on latest trends (GenAI Ops)

Minimum Requirements :

Master’s Degree or Higher in Computer Science / Data Science

The ability to fluently read, write, understand, and communicate in English.

Relevant AWS Certifications related to ML / Data / Data (prefered)

3+ years of hands-on working experience in applying MLOps engineering for Data / AI with real-world problem solving in the medical device industry or equivalent industry experience is preferred.

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