AI researcher & engineer
- 3+ years of professional experience with Python;
- Experience using ML in production;
- Ability to write production level code in Python;
- AI/ML personalization systems at scale;
- Strong background in Machine Learning and Software Engineering;
- Experience with the best practices in software development, including version control, testing, and continuous integration;
- Fundamental knowledge of Data Science;
- Proactive attitude to challenge assumptions and come up with solutions.
- Experience with Machine Learning Operations (MLOps) (Weights & Biases and etc.);
- Experience with vision-language model for recommendation applications;
- Experience with Rewards Models in Reinforcement Learning applications;
- End-to-end experience in training, evaluating, testing, and deploying ML solutions in production;
- Experience with the Hugging Face libraries, etc.;
- Experience with AI pipelines, Backend and AWS.
- Leadership;
- Product obsession;
- Innovation;
- Foreseen action;
- Problem solving;
- Independent;
- Self-structured.
Main responsibilities:
• Write production code that meets our company's high-quality and maintainability standards;
• AI/ML engineering, inference, tuning and training models. Optimization models;
• Deploy models in production environments;
• Drive the adoption of best practices in AI model development, and maintenance, staying abreast of the latest industry trends and research;
• Create and Improve our MLOps infrastructure to have a solid feedback loop with the most appropriate metrics to keep optimizing each use case;
• Work collaboratively with other squads and technical chapters;
• You will be part of a mission driven Agile team (Scrum/Kanban).
Design Leadership:
• Propose and evaluate solutions for design challenges, leveraging your expertise to identify and assess new technologies and third-party components;
• Present designs to the tech team, contributing to the strategic alignment of technical decisions.
Standards and Best Practices:
• Advocate for and establish standards within the team and the broader tech community;
• Address operational aspects, prioritizing concerns such as technical debt, non-functional requirements, and the production environment's performance.
Python, SQL, TensorFlow, PyTorch, Scikit learn, Snowpark, Snowflake, CI/CD, Docker, docker-compose, Gitlab, JIRA.
Deep Learning, Bandits, CausalML, Reward models, Vision-language model or Reinforcement Learning.
🍀An exciting and challenging job in a fast-growing product ecosystem, the opportunity to be part of a multicultural team of top professionals in Development, Engineering and Architecture, Management, Operations, Marketing, etc;
🤝Great working atmosphere with passionate IT experts and leaders, sharing a friendly culture and a success-driven mindset is guaranteed;
📍Beautiful offices in Kyiv, Warsaw, Limassol, Almaty, Yerevan – work with comfort and enjoy the opportunity to build a network of connections with IT professionals day by day;
🧑💻Laptop & all necessary equipment for work according to the ecosystem standards;
🏖Paid vacations, personal events days, days off;
🫖Paid sick leave;
👨⚕Medical insurance;
💵Referral program — enjoy cooperation with your colleagues and get the bonus;
📚Educational support by our L&D team: internal and external trainings and conferences, courses on Udemy;
🗣Free internal English courses;
🤸♀Sport benefit;
🦄Multiple internal activities: online platform with newsletters, quests, gamification and presents for collecting bonuses, PIN-UP talks club for movie and books lovers, board games cozy evenings, special office days dedicated to holidays, etc;
🎳Company events, team buildings.
Take your career to the next level with PIN-UP.
Сreate trends, don’t follow them!