As a senior ML Engineer, you will:

Understand business objectives and assist in development of the correct infrastructure to achieve them, alongside metrics to track their value.
Consult with managers and stakeholders to determine the solution objective and its expected value.
Design, develop and maintain machine learning systems.
Solve complex problems with multilayered data sets, and optimize existing machine learning libraries and frameworks
Study and transform data science prototypes and apply appropriate machine learning algorithms and tools
Train, retrain, and monitor machine learning systems and models in production environment affecting millions of players.
Stay up to date with machine learning and GenAI developments across the industry.
Collaborate with other scientists, engineers, architects and analysts spread across several countries
 


What we’re looking for:


Bachelor’s or master’s degree in computer Science, Engineering, or related field
5+ years of experience as a Backend Engineer, ML Engineer, or a similar role, with a consistent record of successfully delivering ML solutions
High proficiency in python with extensive experience with ML frameworks and API development (FastAPI/Django/Flask or similar)
Experience with data processing workloads.
Experienced working with Docker and on Kubernetes environment
Passionate about learning innovative technologies and an autodidact.
Experience in LLMs, RAG, Agents (LangChain, LlamaIndex) – Big Advantage