Axtria - Ingenious Insights
Manager
Skills
1 month ago
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Important information
Contract type:
Permanent
Location:
Noida, Uttar Pradesh, India
Work mode:
Onsite
Published on:
23 September 2026
What they need
Position Summary To be a technology expert architecting solutions and mentoring people in GenAI - LLM with prior expertise in the Pharma domain.
Job Responsibilities
- 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
- Be a part of large delivery teams working on advanced projects when expert assistance is required.
- Deliver advanced Data Science capabilities to businesses in a meaningful manner through successful proof-of-concept solutions, and later smoothly transition the proof-of-concept into production.
- Create Technical documents, 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
Master's Equivalent in Statistics
Work Experience
- Require 8-15 years experience to develop, test, and deploy Python based applications on Azure platforms
- Must have basic knowledge on concepts of Generative AI / LLMs / GPT
- Deep understanding of architecture and work experience on Web Technologies
- Python, SQL hands-on experience
- Good to have Databricks Genie
- Design and develop LLM-based systems:
- Build and deploy Generative AI solutions, often using frameworks like Langchain and techniques like Retrieval-Augmented Generation (RAG).
- Model development and fine-tuning: Train, fine-tune, and refine large language models to meet specific business requirements or improve performance on particular tasks.
- Integration: Collaborate with cross-functional teams to integrate LLM models into broader applications and products.
- Prompt engineering: Develop and implement effective prompts to guide the LLM and improve the accuracy and relevance of its outputs.
Behavioural Competencies Teamwork & Leadership
Motivation to Learn and Grow
Ownership
Cultural Fit
Talent Management
Technical Competencies Lifescience Knowledge
SQL
Databricks
Python
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