Personal Profile Overview

• Degree in Data Science, Computer Science, Software Engineering or related field
• Stability in previous employment history with a tendency to remain with employers for extended periods
• Experience in managing diverse project activities (not just coding, but also requirements analysis, preparing estimations)
• Clear and effective communication skills, both verbal and written, and ability to convey ideas, information, and messages accurately and efficiently
• Proficiency in fostering effective collaboration and teamwork activities
• Ability to analyze information, assess situations, and make decisions based on sound reasoning and logical evaluation
• Focus on delivering exceptional customer experiences and prioritizing customer satisfaction
• Analytical thinking, problem-solving abilities, and strategic approach to technical challenges
• Transparency in sharing information within a team and company
• Willingness to acquire new knowledge and insights to enhance professional growth and performance

Required skills

• 4+ years of experience in ML or Data Science roles, with at least 1 year focused on LLM or NLP-based systems.
• Hands-on experience with Python and libraries like HuggingFace Transformers, LangChain, PyTorch, TensorFlow, or similar.
• Experience developing and validating classic ML models (e.g., XGBoost, Random Forest, Logistic Regression) for structured or tabular data.
• Strong grasp of model evaluation techniques: precision, recall, ROC-AUC, calibration, error analysis, etc.
• Proven track record of building and deploying ML models into production environments.
• Deep understanding of machine learning algorithms, embeddings, and transformer architectures.
• Solid knowledge of retrieval methods, vector search engines, and hybrid search strategies.
• Familiarity with cloud platforms (AWS strongly preferred), including model hosting, Lambda, S3, or SageMaker.

As a plus

• Experience with fine-tuning large models on custom datasets.
• Knowledge of RAG architectures, search augmentation techniques, and content attribution workflows.
• Experience with prompt engineering, few-shot learning, or alignment techniques.
• Experience designing robust ML pipelines, including model drift detection, retraining workflows, and monitoring systems.
• Familiarity with LLM evaluation methods, hallucination detection, or explainability.
• Understanding of software engineering practices (version control, CI/CD, testing).
• Contributions to open-source AI projects or published work in NLP/LLM areas.

We offer

• Fuel your professional growth with paid online courses, conferences, certifications, English classes, a corporate library, and leadership program
• Thrive in a culture of trust and cooperation with no time trackers and minimal bureaucracy
• Enjoy 20 business days of paid vacation, plus state holidays to prioritize your well-being
• Experience an open-door culture, transparent communication, and top management at a handshake distance
• Enjoy comfortable office vibes with no open space policy, relaxing sports areas, a spacious bar/kitchen, and more
• Achieve balance with our hybrid/fully remote work model
• Receive fair and competitive compensation
• Fuel your productivity and foster a sense of community with complimentary daily lunches
• Participate in meaningful initiatives supporting Ukraine’s victory
• Take flexible sick leave without burdensome documentation and access parental benefits
• Choose from comprehensive medical insurance or a sports compensation package
• Have fun with regular team-building activities, corporate events and celebrations, and unique initiatives like Week in Lviv