Informacje o stanowisku
- Long-term B2B collaboration
- Fully remote setup
- Comprehensive private medical insurance or budget for your medical needs.
- Paid sick leave, vacation, public holidays
- Continuous learning support, including unlimited AWS certification sponsorship
- Comfortable with standard ML algorithms and underlying math.
- Strong hands-on experience with LLMs in production, RAG architecture, and agentic systems
- AWS Bedrock experience strongly preferred
- Practical experience with solving classification and regression tasks in general, feature engineering.
- Practical experience with ML models in production.
- Practical experience with one or more use cases from the following: NLP, LLMs, and Recommendation engines.
- Solid software engineering skills (i.e., ability to produce well-structured modules, not only notebook scripts).
- Python expertise, Docker.
- Experience with data pipelines
- English level - strong Intermediate.
- Excellent communication and problem-solving skills.
- Long-term B2B collaboration
- Fully remote setup
- Comprehensive private medical insurance or budget for your medical needs.
- Paid sick leave, vacation, public holidays
- Continuous learning support, including unlimited AWS certification sponsorship
,[Create ML models from scratch or improve existing models. , Collaborate with the engineering team, data scientists, and product managers on production models., Develop experimentation roadmap. , Set up a reproducible experimentation environment and maintain experimentation pipelines., Monitor and maintain ML models in production to ensure optimal performance., Write clear and comprehensive documentation for ML models, processes, and pipelines., Stay updated with the latest developments in ML and AI and propose innovative solutions. Requirements: Machine learning, AWS, Python, AI, AWS SageMaker, Spark, Deep learning Tools: . Additionally: Private healthcare, International projects.
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