Machine Learning Engineer

About us:
Data Science UA is a service company with strong data science and AI expertise. Our journey began in 2016 with the organization of the first Data Science UA conference, setting the foundation for our growth. Over the past 7 years, we have diligently fostered the largest Data Science Community in Eastern Europe, boasting a network of over 30,000 AI top engineers.

About the client:
Our client helps companies to implement Generative AI solutions in a matter of days. The company streamlines the development cycle of your AI-powered backend, offering a comprehensive suite of features including rapid prototyping, testing, versioning, deployment and observability.

About the role:
We are looking for a talented and passionate Machine Learning Engineer to join the team. In this role, you will be at the forefront of developing deep learning models in production using GPU, CUDA, Nvidia Triton, and PyTorch.

Requirements:
— Master’s or PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
— Profound understanding of deep learning and natural language processing principles.
— Hands-on experience with large language models and their applications.
— Strong programming skills in Python, including experience with ML/NLP libraries (e.g., TensorFlow, PyTorch, Hugging Face Transformers).
— Excellent problem-solving abilities and a passion for innovation.
— Strong communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.

It will be a plus if you have:
— Experience with developing Retrieval-Augmented Generation (RAG) systems.
— Publications or contributions to significant projects in the field of machine learning, NLP, or related areas.
— Experience working in a fast-paced, startup environment.

Responsibilities:
— Fine-tune Open-source LLMs: Customize and optimize pre-existing LLMs to fit the specific needs and improve performance.
— Build RAG Systems: Develop systems that integrate retrieval mechanisms into LLMs to enhance the generation of information-rich responses.
— Develop Conversational Applications: Create applications that utilize LLMs to provide engaging and intelligent conversational experiences.
— Research and Innovation: Stay abreast of the latest developments in LLMs, deep learning, and NLP. Propose and implement innovative approaches to solve complex problems.
— Collaboration: Work closely with the product and engineering teams to integrate machine learning models into the products and ensure they meet the high standards of scalability and reliability.

The client offers:
— Benefit package.
— Opportunity to collaborate with a dynamic, forward-thinking team.
— Continuous learning opportunities to remain at the forefront of industry trends & advancement.

About Data Science UA

We understand that you need more than just a search engine to find IT and technical professionals or to progress your own career, that is why we established Data Science UA.
One place connecting business and developers.

Company website:
https://data-science-ua.com/

DOU company page:
https://jobs.dou.ua/companies/data-science-ua/