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:
Bachelors or Masters 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 Womens and Mens 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
Responsibilities:Design data science statistical machine learning and deep learning systems that influence millions of playersImplement and optimize appropriate ML algorithms and tools for time series and tabular dataTransform data science prototypes into full-scale products while deploying and moni...
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:
Bachelors or Masters 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 Womens and Mens 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
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