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Gen AI & LLM Specialist

Remote: 
Full Remote
Contract: 
Full time
Work from: 
India

Offer summary

Qualifications:

4 years of hands-on experience with Generative AI and LLMs, specifically in live production environments., Prior experience in the fintech or financial services domain is essential., Proficiency in Python and relevant AI/ML libraries such as PyTorch and TensorFlow., Strong understanding of LLM architectures and optimization techniques..

Key responsabilities:

  • Fine-tune and optimize Large Language Models (LLMs) for production-quality applications.
  • Host and deploy LLMs on custom infrastructure, ensuring high availability and performance.
  • Conduct LLM evaluations following best practices outlined in the Hugging Face LLM Evaluation Guide.
  • Collaborate with cross-functional teams to design and implement AI-driven solutions tailored to business needs.

Awign logo
Awign Information Technology & Services Scaleup https://www.awign.com/
201 - 500 Employees
See all jobs

Job description

About Awign Expert:
Awign Expert, a division of Awign - India's largest work-as-a-service platform. We connect skilled professionals with exciting project-based opportunities from top companies, handling onboarding, feedback, conflict resolution, and payroll. Our mission is to empower professionals to focus on their work by managing administrative tasks, providing access to a network of renowned companies and rewarding assignments. 

Duration: 4 Months
Location: Remote

Key Responsibilities:
● Fine-tune and optimize Large Language Models (LLMs) for mid-to-large-scale live
production-quality applications.
● Host and deploy LLMs on custom infrastructure, ensuring high availability and
performance.
● Conduct LLM evaluation following best practices as outlined in Hugging Face LLM
Evaluation Guide.
● Collaborate with cross-functional teams to design, develop, and implement AI-driven
solutions tailored to business needs.
● Ensure model scalability, security, and compliance with industry standards.

Required Skills and Experience:
● Experience: 4 years of hands-on experience with Generative AI and LLMs. (Total IT
experience is not a priority.)
● Domain Expertise: Prior experience in the fintech or financial services domain is
essential.
● LLM Fine-Tuning: Demonstrated expertise in fine-tuning LLMs for live production
environments (academic or PoC projects are not relevant).
● Infrastructure Management: Experience with hosting and deploying LLMs on custom
infrastructure.
● LLM Evaluation: Proficiency in conducting LLM evaluations using industry-recognized
methodologies and frameworks.
● Technical Skills:
○ Proficiency in Python and relevant AI/ML libraries (e.g., PyTorch, TensorFlow,
Hugging Face).
○ Strong understanding of LLM architectures and their optimization techniques.
○ Familiarity with cloud-based or on-premise infrastructure for AI deployments.

Required profile

Experience

Industry :
Information Technology & Services
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Hard Skills

Generative Artificial IntelligencePython (Programming Language)Infrastructure ManagementCloud Computing

Other Skills

  • Collaboration
  • Problem Solving
Are you interested?

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