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.
., 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.
., 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.
., Git and container tools, e.
.
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.
., Kubeflow Experience with Graph DB technologies Proficiency in SQL Proficiency in Object-Oriented Programming Experience with cloud resources, e.
., 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 Established in by Uljan Sharka, iGenius is an AI company on a mission to humanize and democratize business data with Crystal, our proprietary GPT for numbers platform.
Unlike traditional BI tools, Crystal takes a human-first approach that enables business users to have high value conversations with data, all in an easy to use intuitive platform.
By combining data science, machine learning and conversational AI, Crystal becomes a private AI brain for business data, providing organizations with instant, safe and relevant data insights leading to faster and better decision making and business growth.
iGenius announced the partnership with Cineca to create the first Italian Foundational Large Language Model to help companies and Public Administration leverage the benefits of Generative Artificial Intelligence.
With a strong global presence, iGenius operates in 4 countries with offices in New York, San José, Lausanne, London, and Milan, the company's headquarters.
The team counts +100 talented international professionals, highly skilled in AI, machine learning, data science, and software engineering.