Summary of the position:
Looking for a DevOps 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.
Additional Job Description
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)
Hands-on Experience in CI/CD using tools Terraform/CloudFormation, Git, Containers – Docker/Kubernetes, ECS/EKS, Helm Charts, Azure DevOps
Strong knowledge and Hands-on Experience with Data Lakes in building Data Pipelines using Python, Apache Spark, Glue ETL
Working knowledge on Cloud Platforms & Infrastructure (AWS/Azure)
Programming and Scripting knowledge using Python/Shell/YAML (Must needed), SQL/NoSQL, CLI/SDK/CDK
Knowledge in using MLOps tools like AWS SageMaker, MLFlow, Azure AI, Databricks, ML Frameworks like TensorFlow/PyTorch
Knowledge on Microservices using Serverless (Lambda, Step Functions, SQS..) with Observability tools (Prometheus/Grafana)
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 DevOps/ML/Data (preferred)
7+ years of hands-on working experience in applying DevOps engineering for Data/AI with real-world problem solving in the medical device industry or equivalent industry experience is preferred.
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