Job Description :
Looking for a Senior 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.
Additional Job Description :
- 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 :
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).5+ 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.(ref : hirist.tech)