Machine Learning engineer

Requirements:
Are you passionate about cutting-edge AI and Machine Learning technologies? We are seeking an experienced data Scientist to join our dynamic team at Nogamy. This is a unique and exciting opportunity to work on state-of-the-art technologies and contribute to groundbreaking AI projects. As a key member of our team, you will have the chance to collaborate with top-tier professionals and leverage your expertise in LLMs, NLP, and advanced Machine Learning techniques to solve complex problems and deliver impactful solutions. Responsibilities: Develop and implement advanced Machine Learning models, particularly in the areas of LLM, NLP, and Multi-Agent Systems. Design, build, and optimize transformer-based architectures using frameworks like PyTorch. Engage in prompt engineering to improve model performance and usability. Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions. Conduct thorough data analysis and preprocessing to ensure high-quality input for model training. Stay up-to-date with the latest research and advancements in AI, LLMs, and related fields, and apply this knowledge to ongoing projects. Mentor junior data scientists and provide technical guidance to enhance team capabilities. Requirements- Proven experience with large language models (LLMs) and Natural Language Processing ( NLPgreenTxtBg!) Strong expertise in multi-agent systems and transformer architectures. Proficiency in PyTorch and other relevant Machine Learning frameworks. Experience with prompt engineering and fine-tuning of AI models. Solid understanding of data preprocessing, feature engineering, and model evaluation techniques. Excellent problem-solving skills and the ability to work effectively in a collaborative, team-oriented environment. Strong communication skills and the ability to convey complex technical concepts to non-technical stakeholders. Benefits: Hybrid work environment that offers flexibility and work-life balance. Access to state-of-the-art technologies and cutting-edge AI projects. Opportunities for continuous learning, professional growth, and career advancement