Apply for a highly demanded new age job – a Data Scientist/ GenAI LLM Engineer. Be part of Accenture team working in Latvia and delivering projects to world leaders in various fields, like TV & Entertainment, Telecommunication, Finances, Insurance, Industry, Logistic & Supply Chain, and others.

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 we offer:

Competitive salary 1950 - 4400 EUR gross
Flexible vacation + health & travel insurance
Work from home, flexible working hours
Work with Fortune 500 companies from different industries all over the world
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.
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 Schell 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