Machine Learning Engineer

• Support the Data Science team in testing, deployment and maintenance of scalable Data Science services
• Partner with engineering and product teams to architect efficient ML solutions and a robust technical infrastructure
• Guide junior engineers and data scientists and promote best practices in engineering
• Work with stakeholders to frame business needs as ML models and take part in research and development of Data Science solutions
• Stay updated with the latest advancements in MLOps and machine learning, and leverage this knowledge to improve existing systems and processes.

Requirements

• Proven practical experience as a Machine Learning Engineer or in a similar role
• Experience in deploying, maintaining, and updating ML models in production. Knowledge of OOP and the best practices in engineering
• Hands-on experience with a broad range of machine learning techniques and the ability to identify the appropriate technique in different scenarios
• Familiarity with cloud-based infrastructure and services, such as AWS, Google Cloud, or Azure, for the deployment and scaling of machine learning models
• Proficient in SQL, Python, and specialized ML libraries (Sklearn, LightGBM...