A.I. Engineering Architect

Industry / Sector / Domain

Healthcare

Location

Mumbai/ Bengaluru

Experience Range

10-15 years

Company Profile

A leader in HealthCare innovation working with over 120 medical technology, provider, payer and life sciences companies

Job Profile

  • Provide technical thought leadership to customers, company and teams
  • Develop deep expertise in a few areas, while having good understanding of wide range of topics across DS and AIE
  • Experience in working with data modelling of structured and unstructured entities, RDBMS and NoSQL design and data architecting
  • Deploy and manage environments for data engineering, using tools such as Spark, Airflow, and Databricks, H2O.ai etc.
  • Deploy sophisticated CI/CD pipelines to bridge the gap between ML training environments and model deployment environments
  • Host machine learning models as microservices in a scalable environment using containers and container management tools
  • Improve model tracking, versioning, monitoring and management
  • Standardize the machine learning process to meet regulatory standards and policies
  • Design and build systems which improve scalability, usability, and performance
  • Experience with major cloud computing services –AWS, Azure, etc.
  • Experience with on-prem distributed computing services –OpenShift, Hadoop, etc.
  • Proactively track latest research and technology developments in focus areas of Data Science – and share key learnings with entire DS team
  • Hire, train and develop a strong AI Engineering teams globally
  • Technically lead prototype teams to ensure Customer Success, while continuously enabling delivery teams to become self-sufficient over time
  • Run technical reviews to ensure quality and provide adequate guidance to teams in AIE
  • Actively engage with customer stakeholders to frame success criteria, propose solutions, build quality innovative solutions, communicate insights / recommendations effectively
  • Ensure high customer satisfaction as well as impact of solutions we build for customers
  • Define customer offerings and outcome-oriented go-to-market strategies
  • Help create demos, accelerators and frameworks to enable sales / growth
  • Ensure at least 30% billability for self
  • Regularly participate in technical conferences, webinars and publish in technical magazines
  • Actively look for opportunities to grow CT services in our customers
  • Support sales, account and consulting teams in solutioning, proposals and RFPs

Candidate Profile:

  • 10 years of technical experience in AI / ML and digital technologies
  • Experience and expertise in areas including NLP, Image / Video analytics, Advanced
  • Analytics, ML Engineering – preferably in application of DS to HealthCare
  • Experience in architecting and building AI enabled enterprise class solutions
  • Published in technical or open source communities over last 5 years
  • Masters with thesis, in a premier university in CS or relevant areas

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