Machine Learning Engineer Bardi

Machine Learning Engineer
Bardi
Emilia Romagna, Bardi

Social network you want to login/join with: Machine Learning Engineer, Metropolitan City of Milan Client: Location: Metropolitan City of Milan, Italy Job Category: - EU work permit required: Yes Job Reference: 0b9d1d382f00 Job Views: 34 Posted: 06. 03. 2025 Expiry Date: 20. 04. 2025 Job 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 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 Learning Friday. 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, you can save some commuting time by working from home. Salary is based on experience, and topped up with other bonuses. About iGenius iGenius is a deep-tech company specialized in the development of Artificial Intelligence solutions for companies operating in highly regulated industries, including financial services, government, or heavy industry. iGenius' main product, Unicorn, offers tailored solutions for companies looking to integrate AI safely and effectively, mainly through two proprietary Large Language Models (LLMs). Italia 10B, is a multi-language model optimized for regulated sectors and elevated computational efficiency, while Colosseum 355B, built with latest-generation NVIDIA technology, is fit for mission-critical use cases. In addition to Unicorn, iGenius' product offer includes Crystal, an AI agent for Decision Intelligence that analyzes business data in natural language and accurately supports strategic, insight-driven decision-making. In December 2024, iGenius joined forces with NVIDIA to build Colosseum – one of the largest AI supercomputers in the world – to support the deployment of its models with unrivaled speed, performance, and efficiency. Active in both Europe and the United States, iGenius is one of the leading AI unicorns in the European landscape, and has attracted Fortune 500 companies, including Allianz and Intesa Sanpaolo. 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. Please review our Privacy Policy here Privacy Policy. J-18808-Ljbffr