Machine Learning Engineer (NLP)

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, NLP, Nvidia Triton, and PyTorch.

Responsibilities:
– Fine-tune Open-source LLMs: Customize and optimize pre-existing LLMs for specific tasks and improved 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 solving 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.

Requirements:
– Master’s or PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
– Profound understanding of deep learning.
– Hands-on experience with developing models in production.
– Strong programming skills in Python / C++, including experience with GPU, NLP, Nvidia Triton, and PyTorch.
– 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 working in a fast-paced, startup environment.

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.

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