Machine Learning Engineer
8 hours ago
Description
• Work somewhere with the creativity of a scale-up and expertise of an enterprise. • We’re looking for an extraordinary Machine Learning Engineer to join our Team in Milan. • You’d work side-by-side with Developers, Designers and Data Scientists to understand customers’ needs, proposing a range of insightful solutions and to implement and test machine learning models as efficient services integrated into our product ecosystem. • You’d also explore state-of-the-art Machine Learning research to improve current products and develop new ones. • Other responsibilities will include continuously improving your scientific and engineering skills while helping others to improve theirs through mentoring and guiding them.
Requirements
• A Master’s Degree or PhD in quantitative fields, like Computer Science, Engineering, Stats, Math, or Physics • At least 2 years of proven experience as a Machine Learning Engineer (or a PhD) • Understanding of the fundamentals of statistics and machine learning, e.g., sampling theory, inference and interpretation, model validation, regression and classification techniques • Good knowledge in at least one of the following applied machine learning fields: Recommender Systems, NLP, Information Retrieval, Causal Inference, Time Series, Knowledge Graph • Experience with the design, implementation and delivery of advanced machine learning projects in either academic or commercial settings • Superb Python programming skills and experience with data science libraries, e.g., NumPy, Pandas, Scikit-learn, writing efficient production-level code, which is well-written and explainable • Experience with modeling and implementing deep learning models by employing TensorFlow or PyTorch • Knowledge and practical use of version control systems, e.g., Git and container tools, e.g. Docker • Experience working closely with Product • Experience developing scalable solutions to handle large and complex data • Interest in MLOps best practices and tools, e.g., Kubeflow • Experience with Graph DB technologies • Proficiency in SQL • Proficiency in Object-Oriented Programming • Experience with cloud resources, e.g., AWS, Google Cloud • Familiarity with agile development • Able to write and speak about complex technical concepts to broad audiences in a simplified format • Strong team player, enthusiastic, curious and talented at problem-solving, able to work independently and efficiently • Interested in coaching, mentoring and technical leadership • Driven and not scared of facing new challenges • Fluent in English and eager to work in a multicultural, international environment
Benefits
• Learning Fridays. If our team members know more, so do we. That’s why we give everyone a training budget that they can spend on books, online courses or other training materials • Smart Working. Trains can be a drag, so we let our team members work from home when they can • Salary is based on experience, and topped up with other bonuses
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