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Axtria - Ingenious Insights Logo

Associate Director - Decision Science

Actively Reviewing the Applications

Axtria - Ingenious Insights

Posted 2 days ago Apply by June 11, 2026

Job Description

Job Responsibilities

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

Education

BE/B.Tech

Work Experience

  • Minimum 10 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.

Behavioural Competencies

Teamwork & Leadership

Motivation to Learn and Grow

Ownership

Cultural Fit

Talent Management

Technical Competencies

Problem Solving

Lifescience Knowledge

Communication

Project Management

Attention to P&L Impact

Business development

Capability Building / Thought Leadership

Scale of revenues managed / delivered

Scale of Resources Managed
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