Lead AI/ML Engineer (вакансія неактивна)

We are seeking Lead AI/ML Engineer with complex visionary approach and proactive position to lead the development of advanced AI-driven systems for intelligent document understanding and automated data extraction. This includes building robust pipelines for parsing complex, multi-format documents as well as developing autonomous AI agents capable of navigating web platforms and collecting unstructured data at scale.

Key Responsibilities:

• Lead the design and implementation of a hybrid AI architecture combining traditional OCR pipelines with modern LLMs and multimodal models
• Architect intelligent agents capable of navigating web sources and autonomously collecting document data across multiple formats (PDF, Excel, Word, JSON, images, etc.)
• Drive innovation in document understanding through structured parsing (headings, sections, tables), multimodal layout analysis, and semantic search
• Guide the development of an agent-orchestrator that dynamically selects optimal pipelines and models based on document characteristics
• Oversee integration with vector databases and metadata-driven storage for fast, structured access and retrieval
• Enable the automatic generation of structured response templates (e.g., JSON) from unstructured data using LLMs
• Actively contribute to R&D strategy, Proof-of-Concept development, and technology scouting for emerging AI tools and techniques
• Collaborate cross-functionally with software engineers, DevOps, and product stakeholders to ensure scalable, production-ready solutions
• Mentor and grow the AI/ML team, fostering a culture of experimentation, ownership, and continuous learning

Must-Have Qualifications:

• 5+ years of experience in Machine Learning, Deep Learning, or Applied AI
• Strong Python skills and experience with ML libraries such as PyTorch, TensorFlow, Keras
• Deep understanding of LLMs, including fine-tuning, evaluation, and integration (e.g., using LangChain, LlamaIndex, Transformers, FAISS)
• Experience with AI agent development and prompt engineering
• Familiarity with document processing challenges: OCR, NLP/NLU, multimodal inputs.
• Solid understanding of vector databases and semantic data retrieval
• Ability to translate business needs into ML/AI solutions and communicate insights effectively
• Experience working in dynamic R&D environments with evolving priorities
• Upper Intermediate or higher level of English proficiency

Nice-to-Have:

• Experience with Computer Vision tasks and layout analysis
• Familiarity with LLMOps and orchestration of ML pipelines
• Knowledge of DevOps/MLOps practices: Docker, Kubernetes, CI/CD
• Experience with both SQL, NoSQL, and vector-based storage systems
• Prior work on intelligent agents for automated data collection/scraping

We offer:

• Flexible schedule
• Horizontal management and communication directly with project stakeholders
• 20 days of paid vacation
• Paid sick-leaves
• Annual activities budget — we endorse your wish to self-improvement
• Remote work