Data Scientist

2 days ago


Lahore, Punjab, Pakistan beBee Careers Full time

We are seeking a highly skilled and experienced professional to drive innovation and enhance product capabilities using Generative AI technologies.

">Job Summary
  • The ideal candidate will have expertise in developing and deploying GenAI models for reasoning and content generation, as well as optimizing large models through grounding, post-training, and distillation techniques.
About the Role

This role involves creating autonomous agentic AI systems for decision-making and interactions, utilizing data condensation, summarization, and de-contextualization techniques. Additionally, you will architect scalable, serverless AI solutions on AWS and implement efficient prompt engineering.

Main Responsibilities
  1. Develop and deploy GenAI models for reasoning and content generation.
  2. Optimize large models through grounding, post-training, and distillation techniques.
  3. Create autonomous agentic AI systems for decision-making and interactions.
  4. Utilize data condensation, summarization, and de-contextualization techniques.
  5. Architect scalable, serverless AI solutions on AWS.
  6. Implement efficient prompt engineering.
  7. Lead projects independently and proactively.
Requirements
  • Bachelor's or Master's degree in Computer Science, Data Science, or related field.
  • 5+ years of experience in NLP and machine learning.
  • Proficient in Python, AWS, and Hugging Face.
  • Experience with AWS cloud and serverless architectures.
  • Expertise in GenAI concepts such as model distillation, MCP, RAG, MoE, prompt engineering, RLHF.
Preferred Qualifications
  • Experience deploying production AI models using serverless technology at a corporate scale with Azure DevOps.
  • Familiarity with agentic AI and autonomous systems.
What We Offer
  • Provident Fund.
  • Gym Membership.
  • Leaves as per company policy.
  • Company-paid trips.
  • Easy Loan Facility for Employees.
  • Yearly Increment.
  • Health Insurance (including spouse and parents, up to age 80).
Additional Details
  • Seniority level: Mid-Senior level.
  • Employment type: Full-time.
  • Job function: Information Technology.
  • Industries: IT Services and IT Consulting.

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