Machine Learning Engineer (LLM Focus)

• Translate business needs into ML/LLM problems
• Build, validate, and deploy solutions for OCR, fact verification, and compliance checking using LLMs and supporting ML components
• Define evaluation metrics and experimentation loops (e.g., fact-checking accuracy, compliance precision/recall, human-in-the-loop review efficiency)
• Integrate models into microservices and workflows (batch/real-time inference, APIs, containers)
• Establish MLOps foundations: model versioning, CI/CD, monitoring, and drift detection for LLM and OCR components
• Collaborate closely with software engineers, domain experts, and compliance stakeholders to ensure models deliver measurable business and regulatory impact
• Explore opportunities for safe text generation: assisting marketing teams by drafting compliant materials grounded in clinical data and guidelines

• 4+ years of hands-on experience in applied machine learning and NLP, with a proven track record in delivering production systems
• Practical experience with LLMs: fine-tuning and prompt design, evaluation methods, and integration via APIs and local model deployments (e.g., HuggingFace, OpenAI, Anthropic)
• Experience working with OCR tools and pipelines, including extracting structured information from scanned PDFs (text, tables, graphs) and transforming it into usable data for downstream tasks
• Experience building and deploying solutions for fact verification, compliance checking, or text classification in real-world workflows
• Strong understanding of LLM evaluation and error analysis, including metrics for compliance, factuality, and hallucination control (precision/recall, F1, factual consistency scores, calibration methods)
• Familiarity with explainability techniques for NLP/LLM systems (attention maps, rationale extraction, human-in-the-loop review)
• Experience with ML/LLM versioning and reproducibility tools (e.g., MLflow, DVC, Weights & Biases)
• Familiarity with cloud-based ML/LLM infrastructure (AWS/GCP/Azure) and containerized deployments
• English Upper-Intermediate (B2) or higher

• Experience with retrieval-augmented generation (RAG) for grounding LLM outputs in external sources
• Knowledge of the pharmaceutical or healthcare domain, especially regulatory compliance processes
• Experience building or evaluating fact-checking systems (e.g., claim verification, evidence retrieval, consistency checking)

• Owning the full ML/LLM lifecycle (problem framing, data preparation, solution design, deployment, monitoring)
• 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 managing diverse project activities (not only coding, but also requirements analysis, estimations, and documentation for compliance-heavy domains)
• Clear and effective communication skills, both verbal and written, and the ability to convey ideas, information, and messages accurately and efficiently to both technical and non-technical stakeholders
• Proficiency in fostering effective collaboration and teamwork activities
• Ability to analyze complex information, assess risks, and make decisions based on sound reasoning and regulatory constraints
• Focus on building trustworthy solutions that prioritize safety and customer satisfaction
• Analytical thinking, problem-solving abilities, and a 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

• Fuel your professional growth with paid online courses, conferences, certifications, English classes, a corporate library, and a 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

Intelliarts