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Data Scientist/ GenAI LLM Engineer
1 month ago
Our client a IT Company is looking to hire a Data Scientist/ GenAI LLM Engineer.
Working at the edge of AI/ML technologies we help our clients to leverage the value
of unstructured data, to uncover the hidden power of accumulated enterprise
information.
As an LLM engineer, you will have the opportunity to apply your deep expertise in
LLM/GenAI technologies. Your main responsibility will be collaborating closely with
clients to prototype, build, test, and deploy products powered by GenAI/LLM
technology on a large scale. Additionally, you will play a key role in fine-tuning the
hyperparameters of LLM models, optimizing their configuration to ensure the overall
model performance and enhance the overall model performance to drive positive
outcomes for clients.
What they offer:
- Competitive salary
- Flexible vacation + health & travel insurance
- Work from office,
- Skills development and training opportunities, company-paid
certifications, opportunities to advance career, an open-minded and
inclusive company culture
Your responsibilities will include:
- Work with Python, LLM/GenAI frameworks and tools AI/ML end-to-end solutions developing
- CI/CD pipelines development, LLM model containerizing and deployment on cloud or premise. Models testing and follow-up maintenance. All stages of ML model life cycle ensuring and support.
- Design prototypes and POCs to demonstrate solution feasibility and value. Provide architecture solution.
- Research, design, build, and train innovative applications of LLMs to solve complex real-world problems.
- Provide technical guidance to clients adopting LLM technologies.
Requirements
- Bachelor’s Degree (might be final course student) in Statistics, Applied Mathematics, Computer Science, or other related fields
- Experience in AI/ML technologies and software engineering, at least 3+ years of hands-on experience with Python, 2+ years of experience with Shell scripting, 1+ years of experience building and maintaining scalable API solution
- 2+ years of professional experience with NLP, 1+years of professional experience with Large Language Models (LLM)/GenAI technology like OpenAI API, ChatGPT, GPT-4, Bard, Synthesia, Langchain, HuggingFace Transformers, PyTorch and similar, 1+ years of experience with prompt engineering, 1+ years of experience with vector database
- 2+ years of experience with AWS, GCP or Microsoft Azure, 2+ years of experience with MLOps, CI/CD pipeline development, containerization, model deployment in test and production environments
- Be a team player, fluent in English and ability to clearly communicate complex LLM capabilities and limitations to non-technical stakeholders. Would love to see, but ready to consider without:
- M.sc. or Phd. in corresponding fields
- Experience with Java, Java Script or Scala, 2+ years of experience with Snowflake or Databricks
- Deep knowledge of a specific domain or industry, with a focus on NLP/LLM
- In depth understanding of Responsible AI standards and protocols
- Applied research background leveraging frameworks to build LLM prototypes, knowledge of best practices for production LLM development
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