Machine Learning Engineer Milano

Machine Learning Engineer
Milano
Lombardia, Milano

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.

What You HaveA Master's Degree or PhD in quantitative fields, like Computer Science, Engineering, Stats, Math, or PhysicsAt 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 techniquesGood knowledge in at least one of the following applied machine learning fields: Recommender Systems, NLP, Information Retrieval, Causal Inference, Time Series, Knowledge GraphExperience with the design, implementation and delivery of advanced machine learning projects in either academic or commercial settingsSuperb 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 explainableExperience with modeling and implementing deep learning models by employing TensorFlow or PyTorchKnowledge and practical use of version control systems, e. g. , Git and container tools, e. g.

DockerWhat Would Be Nice To HaveExperience working closely with ProductExperience developing scalable solutions to handle large and complex dataInterest in MLOps best practices and tools, e. g. , KubeflowExperience with Graph DB technologiesProficiency in SQLProficiency in Object-Oriented ProgrammingExperience with cloud resources, e. g. , AWS, Google CloudFamiliarity with agile developmentWho You AreAble to write and speak about complex technical concepts to broad audiences in a simplified formatStrong team player, enthusiastic, curious and talented at problem-solving, able to work independently and efficientlyInterested in coaching, mentoring and technical leadershipDriven and not scared of facing new challengesFluent in English and eager to work in a multicultural, international environmentWorking at iGeniusWith 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.

PerksLearning 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 materialsSmart Working.

Trains can be a drag, so we let our team members work from home when they canSalary is based on experience, and topped up with other bonusesAbout iGeniusiGenius 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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