Machine Learning Engineer

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

What You Have

• 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

What Would Be Nice To Have

• 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

Who You Are

• 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

Working at iGenius

With a growing team in four offices — Milan, NYC, London and Lausanne — iGenius is a scaleup that thinks like an enterprise, where talented innovators can thrive and people come first. That’s not all.

Perks

• 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

About iGenius

iGenius is an Italian AI company that develops language models and AI solutions tailored for highly regulated industries, including financial services and government. With a mission to democratize business knowledge, iGenius is one of the top AI unicorns in Europe today. iGenius’ flagship product, Crystal, is a Decision Intelligence tool that analyzes data in natural language, making it accessible for anyone within a business organization. From Allianz to Intesa San Paolo, Crystal has become the AI solution of choice for a number of Fortune 500 companies. This led Gartner to recognize iGenius as a “Cool Vendor” in the  AI Core Technologies category, as well as mention the company in its Market Guide for Conversational AI and include it in the 2024 Magic Quadrant for Analytics and BI platforms. In June 2024, iGenius released Italia, an open-source Foundational Large Language Model, developed in collaboration with Cineca, and trained entirely on high-quality native Italian sources. That same month, iGenius launched a new enterprise solution called Unicorn, to support companies in adopting AI safely and effectively, with AI solutions tailored to their needs.

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