ML Engineer
3 weeks ago
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 for extraction of information from documents, document 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.
- 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.
- 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.
- 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.
• Flexible working hours;
• Fully remote job;
• Opportunity to work with an international team of first-class professionals.
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