Responsibilities
- Design, develop, and deploy scalable AI/ML solutions for real-world healthcare and operational use cases.
- Own end-to-end ML pipelines: data ingestion, preprocessing, feature engineering, model training, evaluation, and deployment.
- Develop and optimize automation systems (e.g., intelligent customer email order processing).
- Build and improve conversational AI and voice agents for sales and support teams.
- Contribute to computer vision initiatives, including automation projects in logistics.
- Translate complex business requirements into well-structured technical solutions.
- Ensure performance, scalability, monitoring, and reliability of models in production.
- Collaborate cross-functionally with product, business, and engineering stakeholders.
- Contribute to technical discussions, innovation sessions, and continuous improvement initiatives.
Basic qualifications
- 5+ years of experience in AI/ML engineering with proven delivery of production-grade systems.
- Strong hands-on experience building and deploying ML systems in real environments.
- Deep understanding of ML algorithms, NLP and/or computer vision models.
- Strong Python skills and proficiency with major ML frameworks (TensorFlow, PyTorch, Scikit-learn).
- Experience designing scalable, maintainable ML architectures.
- Strong problem-solving and decomposition skills.
- Experience working in fast-paced, multi-project environments.
- Ability to take ownership and deliver independently.
- Strong communication skills and fluent English.
Benefits
- Comfortable environment, challenging tasks and a long-term interesting project;
- Covered 20 days of vacation;
- Working with top notch equipment;
- Bookkeeping by a professional accountant;
- Help and support from our caring HR-team;
Tags & focus areas
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