AI/Machine Learning Engineer

Responsibilities:

• Design data science, statistical, machine learning and deep learning systems that influence millions of players
• Implement and optimize appropriate ML algorithms and tools for time series and tabular data
• Transform data science prototypes into full-scale products, while deploying and monitoring ML models
• Run live tests and experiments
• Train and retrain systems when necessary
• Create or extend existing ML libraries and frameworks
• Collaborate with other scientists, engineers, architects and analysts spread across several countries

Requirements:

Must Haves:
• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related discipline.
• 3-5 years as a Backend Engineer, or a similar role, with a consistent record of successfully delivering ML solutions
• Solid software engineering skills, including experience with Git, Docker, and CI/CD pipelines.
• Hands-on experience in designing and deploying systems in Kubernetes environment.
• Experience with big data tools i.e. Spark, and working with structured and unstructured data.
• Experience with real-time and streaming applications.
• Ability to work with cross-functional teams, articulate ML concepts to non-technical stakeholders, and lead projects from concept to execution.
Nice to Have:
• Experience as a ML/GEN-AI Engineer, or a similar role.
• High proficiency in Python, with extensive experience with Python software development, Python-based ML libraries, and API development (FastAPI).
• Deep understanding of Python programming principles, including object-oriented programming, asynchronous processing, and memory management.
• Hands-on experience deploying ML models using tools like BentoML.
• Experience with real-time ML applications and streaming data (Kafka, Flink, etc.).
• Experience in Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and AI Agents using frameworks like LangChain and LlamaIndex.

Benefits:

• Annual company bonus
• Competitive salary & flexible working hours
• Daily breakfast, lunch, and office refreshments
• Private health insurance, dental coverage, and psychological counseling
• 20 paid vacation days and 5 sick days per year
• 6 long weekends and 1 day off for your birthday
• Gifts for special occasions (birthday, Easter, Christmas, Women’s and Men’s Day, weddings, childbirth, etc.)
• Technical library with the option to order books
• Access to our educational platform with courses, training programs, and certifications
• Career development through coaching and reviews
• Internal mobility & referral program
• Corporate celebrations, team-building events, and fun activities
• Personal care in the office (nails, eyebrows, and barber services)
• Modern offices (Kyiv, Vinnytsia, Dnipro) with organized shuttle buses to and from the office