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AI researcher & engineer
Lead
Armenia, Cyprus, Kazakhstan, Poland
Remote
TATECH-18027
- Master's or Ph.D. in Data Science, Computer Science, Statistics, Applied Mathematics, or a related field;
- 7+ years of experience designing and implementing machine learning systems in a production environment;
- Profound knowledge of machine learning algorithms, including supervised and unsupervised learning, deep learning, NLP, and reinforcement learning;
- Experience with large language models (LLMs) and their applications;
- Proficient in Python for data science and ML;
- Strong understanding of data structures, algorithms, and software engineering principles;
- Experience with AWS and its AI/ML services;
- Knowledge of containerization and orchestration technologies (e.g., Docker, Kubernetes) for deploying ML models;
- Familiarity with MLOps principles and tools;
- Excellent communication and leadership skills.
- Proficiency in C++ and/or Go programming languages;
- Experience with other cloud platforms (e.g., Azure, Google Cloud);
- Certifications in cloud technologies and machine learning;
- Experience with big data technologies (e.g., Hadoop, Spark);
- Published work in relevant fields;
- Experience in the gambling or gaming industry;
- Familiarity with affiliate marketing, chat bots, and recommender systems.
- Public speaking and presentation skills;
- Non-trivial thinking and innovative problem-solving;
- Leadership and team management;
- Effective communication with technical and non-technical stakeholders;
- Project management;
- Strategic thinking;
- Adaptability and quick learning;
- Cross-cultural communication;
- Mentoring and talent development;
- Collaboration and teamwork;
- Time management and prioritization;
- Emotional intelligence.
- Design and implement scalable machine learning models, including LLMs, for affiliate marketing, chat bots, tabular data analysis, traffic optimization, and recommender engines;
- Lead the development of ML infrastructure to support current needs and future growth;
- Architect and optimize data pipelines for training and deploying machine learning models;
- Collaborate with data engineers and software developers to integrate ML models into production systems;
- Leverage AWS AI services to enhance and accelerate ML development;
- Propose new developments in machine learning, AI, and data science, assessing their applicability to our business needs;
- Provide technical leadership and mentorship to ML engineers and data scientists;
- Work with product teams to translate business requirements into technical specifications and ML solutions;
- Ensure ML models comply with gambling regulations and ethical guidelines.
- Programming Languages: Python (required), C++ and Go (preferred);
- ML Frameworks: TensorFlow, PyTorch, Scikit-learn;
- LLM Frameworks: Hugging Face Transformers, LLamaIndex, LangChain;
- Cloud Platform: AWS (primary);
- AWS AI Services: SageMaker, Comprehend, Lex, Personalize;
- Containerization: Docker, Kubernetes;
- Big Data: Hadoop, Spark.
- 🍀An exciting and challenging job in a fast-growing product holding, 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 Warsaw, Limassol, 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 book lovers, board games cozy evenings, special office days dedicated to holidays, etc
- 🎳Company events, team buildings

— Do you want to fulfill your dream? Take your career to the next level with PIN-UP — create trends, don’t follow them.
Oksana Izmailova
CHRD PIN-UP GLOBAL