ML Platform Engineer

Total Experience: 6-10 years

Role Description:

• Working with team of Cloud engineers focused on designing and building robust infrastructure on AWS

• Working with Development teams to understand technical requirements and then design and provision AWS Platform services required to support AI and Machine learning solutions.

• Working with Product Managers to develop tools to support experimentation, ML model training and production operations.

• Solid understanding of provisioning end-to-end Data solution enabled with DevOps using CDK & CDKTF.

• Architect scalable low-latency systems, implement capacity planning framework & design data pipelines & required disaster recovery services.

• Promote software development best-practices and conduct rigorous code reviews, rigorously identify and solve technical challenges

• Balance and prioritize projects to maximize efficiency and ensure company objectives are achieved

Required Skill Sets:

• Should have sound experience provisioning following Cloud Services as well as their design and architecture components:

• Cloud Infrastructure experience deploying and managing cloud infrastructure using Azure.

• Hands-on with CI/CD pipelines, one of the following programming languages (TypeScript, NodeJS, Python 3 Boto), and cloud provisioning (CDK or Terraform)

• Hands on experience configuring and deploying Azure Data & AI Platforms (Microsoft OpenAI, Azure AI Search, Azure AI translate, Power BI, Azure Data Lake Storage, Azure Databricks, Azure Data Factory, Azure Machine learning, Azure SQL Database etc.)

• Problem-Solving & Communication: Excellent decision-making, consulting, and technical support skills for internal and external teams.

• CDK or Terraform

• TypeScript, NodeJS, Python 3 Boto 3

• Code pipeline, CICD, Build/Deploy

• AWS & Azure AI & ML Services

• AWS Sage maker Studio (ML), Docker & Containers"