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Data Scientist (LLM)

Remote:

Full Remote

Contract:

Full time

Experience:

Mid-level (2-5 years)

Work from:

Canada, California (USA), United States

Offer summary

Qualifications:

Master's degree plus 3-5 years experience, Experience in NLP and LLMs, Proficiency in Python and AI libraries, Familiarity with DOCKER and Git frameworks, Experience with model APIs and MLOps.

Key responsabilities:

Design and develop LLMs for various use cases
Optimize performance of pre-trained LLMs
Develop RAG based applications
Collaborate with teams to integrate LLM systems
Ensure ethical AI practices and transparency

Perfict Human Resources, Staffing & Recruiting Scaleup https://www.perfictglobal.com/

51 - 200 Employees

See more Perfict offers

Job description

About Us:
Perfict Global is a leading IT consulting services provider focused on providing innovative and successful business workforce solutions to Fortune 500 companies. Our trained and experienced professionals constantly strive to bring together the best technologies available to manage client's complex business and technology, participate in implementation activities and collaborate in new ways to meet client needs.

We provide excellent benefits such as Medical, Dental, Vision ++ a fun company to work!!!

Job description:

Design and develop LLMs for specific use cases, including but not limited to text generation, summarization, and conversational agents.
Prompt engineer pre-trained LLMs on domain-specific data to optimize performance for target applications.
Develop RAG based applications.
Collaborate with data scientists, engineers, and product teams to integrate LLM capabilities into existing systems and platforms.
Optimize model performance in terms of accuracy, speed, and resource utilization.
Ensure the ethical use of AI models and implement fairness, accountability, and transparency measures.

Required Skills:

Master's degree + 3-5+ years of related experience
NLP
2 – 3+ years of experience designing/developing LLMs and RAG based applications
Python
TensorFlow, Pytorch, Keras, Theano Libraries
DOCKER
Experience developing and fine-tuning large pre-trained models (i.e. GPT, BERT, T5, etc.)
Git, Github, Gitlab
Experience developing and deploying API's for model inference, using frameworks like FLASK, DJANGO, FASTAPI
MLOps and A/B testing