Career Opportunities: Associate Director - Data Science (10753)

Tier 1-2 college New South Wales, Australia
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Career Opportunities: Associate Director - Data Science (10753)

Requisition ID 10753 - Posted  - Gurgaon, Tower B (Floor 11), CC

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Job Responsibilities: -

  • Be a leader in ML & GenAI Space with exposure to Application building
  • Should have experience in doing Business Development on ML & GenAI space
  • Should have exposure in independently creating demos, PoC’s and accelerators on GenAI space
  • Able to handle entire BD process of its own
  • Can setup a team of smart data scientists and app developers quickly
  • Be an Individual Contributor in the Analytics and Development team and solve real-world problems using cutting-edge capabilities and emerging technologies based on LLM/GenAI/GPT
  • Software development experience in python is needed as backend for UI based applications
  • Create Technical documents e.g., HLD/LLDs/Technical Designs etc., develop, test, and deploy data analytics processes using Python, SQL on Azure/AWS platforms
  • Can interact with client on GenAI related capabilities and use cases

 

 

Qualification: -

 

    • B-Tech or BE in Computer Science / Computer Applications from Tier 1-2 college with 10+ years of proven experience in the field of Advanced Analytics or Machine Learning

OR

    • Master’s degree in Machine Learning / Statistics / Econometrics, or related discipline from Tier 1-2 college with 8+ years of experience

Must have Skills: -

 

  • Minimum 8 years of experience in designing and architecting ML based solutions on Azure/AWS platforms

  • Must have good knowledge on concepts of Generative AI / LLMs / GPT

  • Deep understanding of architecture and work experience on Web Technologies

  • Python, SQL hands-on experience

  • Expertise in any popular python web frameworks e.g. flask, FastAPI, Django etc.

  • Familiarity with frontend technologies like HTML, JavaScript, REACT

 

Skills that give you an edge: -

  • Strong analytical skills to solve and model complex business requirements are a plus. With life sciences or pharma background.

 

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