Machine Learning Engineer

Founded in 2010, Novibet is an established global GameTech company operating in Europe, the Americas, and other international markets (Greece, Brazil, Mexico, Malta, Ireland, Cyprus, Chile, Finland and New Zealand), with hubs in Greece, Malta, Brazil, and Mexico and more than 1,400 employees worldwide. We are driven by technology and innovation, continuously evolving our proprietary platform to deliver seamless and engaging online entertainment experiences to our growing customer base.

At Novibet, you’ll be empowered to take on meaningful challenges, develop your skills and contribute ideas that make a difference. Certified as a Great Place to Work® several years in a row, in Greece, Malta and Brazil, we are a global team, united by a culture of trust, inclusion and shared learning.
Join us and become part of a global team where collaboration, innovation and continuous growth drive everything we do.

As a Machine Learning Engineer in our team, you specialize in extracting value from data by crafting, deploying, and maintaining tailored machine learning models. Your expertise lies in analyzing data, selecting appropriate algorithms, and ensuring the reliability and scalability of deployed models through vigilant monitoring and maintenance. Technologies you'll work with include Python, SQL, PySpark, Databricks, and Azure Data Factory. We're always seeking the most efficient tools for the job, dreaming big with a data scientific approach aimed at deriving more value from data.

• →Conduct thorough data analysis and preprocessing techniques to prepare large-scale datasets, leveraging big data technologies and distributed computing frameworks.
• →Evaluate and select appropriate machine learning algorithms and techniques based on project requirements and constraints.
• →Design and build machine learning models for player behavior prediction, personalized recommendations, and dynamic content generation.
• →Develop scalable and efficient machine learning pipelines for processing large volumes of data.
• →Work closely with software engineers, data engineers, product managers, and business stakeholders to integrate ML solutions into products and services.
• →Deploy and monitor the models to ensure optimal performance, accuracy and seamless integration into production systems, maintaining their effectiveness over time.
• →Implement best practices for deploying and monitoring ML models in production environments.
• →Continuously iterate and improve machine learning models based on feedback and evolving business needs.
• →Stay up-to-date with advancements in the AI/ML field, and contribute to the development of cutting-edge solutions.

• Preferably a Bachelor and/or Postgraduate Degree in Computer Science or in a relevant field (Mathematics, Engineering etc.).
• Minimum 4 years of work experience in a relevant role.
• Strong knowledge of Python, SQL and PySpark.
• Strong knowledge of machine learning libraries (Scikit-learn, TensorFlow, PyTorch).
• Strong knowledge of machine learning algorithms for classification, clustering, and regression.
• Experience in GenAI.
• Experience in personalized customer suggestions (recommender systems).
• Strong understanding of machine learning concepts and the ML lifecycle.
• Experience with CI/CD pipelines and MLOps.
• Familiarity with cloud platforms (AWS, GCP, Azure), preferably Azure.
• Strong collaboration and teamwork skills.
• Ability to collaborate on projects and work independently when necessary.
• Ability to translate complex business problems into scalable ML solutions.
• Working proficiency and communication skills in verbal and written English.

• Experience with Databricks and MLFlow.
• Experience with Deep Learning models and techniques (NNs).
• Experience with LLMs and NLP techniques.
• Generative AI knowledge.