Machine Learning Engineer at Novibet

Athens, Attica, Greece -

Full Time

Start Date

Immediate

Expiry Date

12 Mar, 26

Salary

0.0

Posted On

12 Dec, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Machine Learning, Python, SQL, PySpark, Data Analysis, Machine Learning Algorithms, Recommender Systems, MLOps, Cloud Platforms, Collaboration, Deep Learning, NLP, Generative AI, CI/CD, Data Processing, Model Deployment

Industry

Entertainment Providers

Description

📢 Join Novibet as a Machine Learning Engineer! Are you ready to take on a key role in a dynamic, fast-growing company? If you have a passion for Machine Learning and thrive in a fast-paced environment, this could be the right opportunity for you. Who We Are Founded in 2010, Novibet is an established GameTech company operating in Europe, the Americas, and ROW countries (Greece, Brazil, Ireland, Finland, Mexico, Chile, Ecuador, Cyprus, and New Zealand), with hubs in Greece, Malta, Brazil, and Mexico and 1200+ employees across all countries of operation. We are committed to staying at the forefront of technological advancements, continually pushing boundaries and delivering seamless entertainment and online gaming experiences to our rapidly expanding customer base. Why Novibet At Novibet, you are empowered to excel, prioritising growth through listening and learning as part of a group of forward-thinkers and doers continuously adapting to new challenges. We are equally committed to fostering a positive, inclusive, and supportive workplace culture that empowers every individual to thrive. Join us, and you will be part of a team of over 1,200 people worldwide that values collaboration, innovation, and personal growth. What you will work on 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 scientists, product managers, and business stakeholders to integrate ML solutions into products and services. Deploy and monitor the models to ensure optimal performance and accuracy. 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. Deploy and monitor the models to ensure seamless integration into production systems and maintain their effectiveness over time. Stay up-to-date with advancements in AI/ML and contribute to the development of cutting-edge solutions. What you bring Preferably a Bachelor and/or Postgraduate Degree in Computer Science. 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 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. Desired Technical Skills Experience with Databricks and MLFlow. Experience with Deep Learning models and techniques (NNs). Experience with LLMs and NLP techniques. Generative AI knowledge. What we offer We truly value our people at Novibet! Within our vibrant, dynamic, and fast-paced environment, we encourage everyone to reach their full potential while enjoying every step of the journey. Here’s how we make that happen: 💰Competitive Compensation: Attractive salary and bonus scheme 🧑‍⚕️Health insurance: Group health & medical insurance package 💻Top-Notch Equipment: All the tools you need for your role 🏋️Free access to our in-house gym to keep you energized 🚀Career Growth: Focused career development, performance management, and training opportunities 🚗Alternative Transportation: Shuttle buses & Carpooling options 🌍Inclusive Environment: A welcoming, international, and multicultural team 🎉Engaging Activities: Exciting events, sports, and team-building activities At Novibet we value diversity and are committed to an inclusive and equitable workplace. All decisions regarding recruitment, hiring, promotion, compensation, employee training and development, and all other terms and conditions of employment, are made without regard to race, religious beliefs, color, gender identity, sexual orientation, marital status, disability or chronic disease, age, ancestry or place of origin.

Responsibilities

As a Machine Learning Engineer, you will extract value from data by crafting, deploying, and maintaining machine learning models. You will work closely with various stakeholders to integrate ML solutions into products and services.