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Brillio

Data Scientist (LLM Expert)

Early Applicant
  • Posted 3 months ago
  • Be among the first 20 applicants

Job Description

About Brillio:

Brillio is one of the fastest growing digital technology service providers and a partner of choice for many Fortune 1000 companies seeking to turn disruption into a competitive advantage through innovative digital adoption. Brillio, renowned for its world-class professionals, referred to as Brillians, distinguishes itself through their capacity to seamlessly integrate cutting-edge digital and design thinking skills with an unwavering dedication to client satisfaction.

Brillio takes pride in its status as an employer of choice, consistently attracting the most exceptional and talented individuals due to its unwavering emphasis on contemporary, groundbreaking technologies, and exclusive digital projects. Brillio's relentless commitment to providing an exceptional experience to its Brillians and nurturing their full potential consistently garners them the Great Place to Work certification year after year.

Essential Requirements:

  • 6-10 years of experience as a Data Scientist or similar role in a data-driven environment.
  • Knowledge of Generative AI models, LLMs, Deep Learning, and Reinforcement Learning.
  • Proficiency in machine learning frameworks like Keras, TensorFlow, or PyTorch.
  • Strong programming skills in Python, with knowledge of MLOps techniques as a plus.
  • Excellent problem-solving skills and strong analytical abilities.
  • Ability to communicate complex technical concepts to non-technical stakeholders.
  • Experience with data visualization tools and techniques.
  • Understanding of data management principles.

Good to Have Skills:

  • Familiarity with Kubernetes and Docker containers.
  • Proficiency in version control using Git.
  • Experience with frameworks like LangChain and LlamaIndex.
  • Knowledge of embedding stores such as pgvector and Chroma.

More Info

Industry:Other

Function:technology

Job Type:Permanent Job

Skills Required

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Date Posted: 17/11/2024

Job ID: 100608865

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