Senior Machine Learning Engineer (NLP / LLM)

SciForce is looking for a Senior NLP / LLM Engineer to join our ML team and work on advanced Natural Language Processing and Large Language Model solutions. In this role, you will focus on developing, adapting, and optimizing language models for real-world applications. You will work with modern LLM architectures, fine-tuning techniques such as LoRA and QLoRA, and model evaluation approaches. You will have the opportunity to explore new ML methodologies, solve complex technical challenges, and influence technical decisions — taking solutions from research and experimentation to implementation. Responsibilities: - Design, develop, and implement ML models and solutions for complex use cases. - Take ownership of ML-related tasks and drive them from idea and research to implementation and delivery. - Analyze complex datasets and business problems, identify suitable ML approaches, and propose effective solutions. - Develop and improve machine learning pipelines and proof-of-concept prototypes. - Work with NLP, LLMs, data science, complex data analysis, and related ML use cases. - Participate in defining the technical direction of ML solutions and contribute to architectural decisions. - Identify potential technical risks and proactively suggest improvements or alternative approaches. Required Skills: - 5+ years of commercial experience in Machine Learning / Data Science. - Strong expertise in Python and its data science ecosystem. - Hands-on experience with PyTorch, TensorFlow, or similar deep learning frameworks. - Strong technical background in data analysis, statistics, and applied mathematics. - Strong experience in NLP, data science, and complex data analysis. - Hands-on experience with LLMs and modern language model architectures. - Hands-on experience fine-tuning and adapting small/medium language models (roughly 1B—8B parameters), including parameter-efficient fine-tuning techniques such as LoRA/QLoRA (PEFT). - Experience with model evaluation, validation, and performance optimization. - Proactive and ownership-driven mindset — ability to identify problems, explore possible approaches and independently drive solutions through implementation. - Research mindset and curiosity about new ML methodologies and technologies. - Good technical written and spoken English. We offer: - Transparent communication between the company and employees - 20 business days of paid vacation and paid sick leave - Opportunity to work on advanced, innovative enterprise projects - Accounting as a service - Competitive salary - Language classes *Please note, that our team will carefully review your application and will contact you if your qualifications match the requirements of the role. If you are not selected for this position, your CV will remain in our database for future opportunities. Відгукнутись на вакансію