
Senior Machine Learning Engineer >>
We are looking for a Senior Machine Learning Engineer to join our AI R&D Team.
The ideal candidate will have practical experience and a deep understanding of Large Language Model fine-tuning, prompt engineering, and a solid foundation in software development.
RESPONSIBILITIES
- You will work closely with our key customers, some of the biggest global technology leaders;
- Collaborate with cross-functional teams to elicit business requirements, design and develop roadmaps, create and implement machine learning models;
- Architect, implement, and optimize scalable and efficient AI solutions for a variety of domains and industries, with a primary focus on LLM / NLP;
- Experiment with the new technologies and AI advancements and proactively suggest new ideas, solutions, and approaches in your professional area.
REQUIREMENTS
- Expert-level proficiency in Python;
- Proven experience in designing and architecting AI solutions;
- Strong understanding of Machine Learning algorithms and mathematical foundation behind them;
- Practical knowledge of Machine Learning frameworks, such as Tensorflow and PyTorch;
- Proven experience with LLM development and fine-tuning;
- Solid understanding of NLP techniques and frameworks, and recommendation engines;
- Experience with creating real-time AI assistants and data streaming technologies;
- Familiarity with vector databases;
- Strong understanding of cloud technologies, preferably AWS and GoogleAI;
- Experience with Git, Docker, CI/CD pipelines, Agile methodologies;
- Excellent communication skills;
- Good command of English, at least Upper-Intermediate level;
- Leadership experience would be nice to have.
WHAT’S IN IT FOR YOU
- Working in a diverse, equal-opportunity, and professional team with an open and friendly culture;
- Competitive compensation package;
- Interesting, diverse, and challenging tasks with the modern technology stack;
- Working closely with clients that are at the forefront of global technology progress;
- Availability of B2B and Employment collaboration options;
- Professional growth opportunities;
- Hybrid or Remote working mode.