Senior Associate, MLOps (Data/DevOps) Engineer
Senior Associate, MLOps (Data/DevOps) Engineer
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Job Description
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 is an ideal opportunity for individuals with a passion for applying DevOps Skills for AI/ML application development in the healthcare 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
Handson Experience in CI/CD using tools Terraform/CloudFormation Git Containers Docker/Kubernetes ECS/EKS Helm Charts
Strong knowledge and Handson 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:
Masters 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 handson working experience in applying MLOps engineering for Data/AI with realworld problem solving in the medical device industry or equivalent industry experience is preferred.
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Required Experience:
Senior IC
Employment Type
Full-Time
