The team of experts providing analytical services to healthcare clients is looking for a great, long-term Middle+ ML Engineer to work on projects in the field of intelligent document analysis. You will have to solve problems of launching advanced models to production; optimizing pipelines for high-load environments; tuning modern multimodal models using various methods, modern technology stacks and advanced techniques. You will join an international team of first-class professionals who are passionate about creating products that improve the quality of medical services. Responsibilities: • Implementation of AI pipelines of extraction information from documents, documents classification using advanced methods and tools (neural networks, modern LLMs etc.). • Participation in dataset management processes: Collection of multimodal datasets from corporate data sources, evaluation and improvement of dataset quality. Maintaining datasets up-to-date. • Developing and validating multimodal models: Participation in the processes of training and validating models. Monitoring of models performance. Requirements: • 3+ years ML Engineer experience in a field of implementation of ML (CV and NLP are more preferable) models in real business processes. • Experience with cloud platforms (AWS, GCP, Azure). • Experience with Docker/Kubernetes for ML. • Strong Python, SQL skills. • Experience with popular python ML frameworks: VLLM, Transformers, Pytorch, OpenAI, sklearn, spacy, nltk etc. • Understanding of MLOps practices, including CI/CD for ML. • English level B2 or higher. Preferred Qualifications (Optional): • Experience in healthcare or medical insurance projects. • Experience with Google Cloud Platform (GCP). • Experience with LLMs (Qwen VL, Pixtral, Llama); prompt engineering techniques: Chain of Thoughts, FewShot. • Familiarity of RAG и LangChain concepts. Benefits: • flexible working hours; • fully remote job; • opportunity to work with international team of first-class professionals.