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 (preferred) 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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Senior Associate, MLOps (Data/DevOps) Engineer