Machine Learning Engineer

Domyn; Italia; In loco; EUR 40.000 - 70.000; Tempo pieno

Descrizione del lavoro

Domyn is seeking a Machine Learning Engineer in Milan to work alongside Developers, Designers, and Data Scientists. You'll develop insightful solutions, implement machine learning models, and explore cutting-edge research to enhance products, while mentoring peers in a vibrant team environment. This exciting role offers a competitive salary and opportunities for growth in the field of Responsible AI.

Servizi

Training budget for books and courses

Smart working options

Potential company equity opportunities

Competenze

• At least 2 years of proven experience as a Machine Learning Engineer or a PhD.
• Experience with advanced machine learning projects.
• Good knowledge in applied machine learning fields like NLP or Recommender Systems.

Mansioni

• Implement and test machine learning models as efficient services.
• Explore state-of-the-art research to improve products.
• Mentor and guide team members in engineering skills.

Conoscenze

Understanding of statistics

Machine learning techniques

Python programming

Deep learning

Version control systems

Data science libraries

Formazione

Master’s Degree or PhD in quantitative fields

Strumenti

TensorFlow

PyTorch

Git

Docker

Descrizione del lavoro

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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.

We offer a competitive salary, as well as an opportunity to receive company equity. The typical salary for this role ranges between € 40.000 and € 70.000. As you gain experience and make more significant contributions to the business, your compensation will be reviewed to match your impact.

About Domyn

Domyn is a company specializing in the research and development of Responsible AI for regulated industries, including financial services, government, and heavy industry. It supports enterprises with proprietary, fully governable solutions based on a composable AI architecture — including LLMs, AI agents, and one of the world’s largest supercomputers.

At the core of Domyn’s product offer is a chip-to-frontend architecture that allows organizations to control the entire AI stack — from hardware to application — ensuring isolation, security, and governance throughout the AI lifecycle.

Its foundational LLMs, Domyn Large and Domyn Small, are designed for advanced reasoning and optimized to understand each business’s specific language, logic, and context. Provided under an open-enterprise license, these models can be fully transferred and owned by clients.

Once deployed, they enable customizable agents that operate on proprietary data to solve complex, domain-specific problems. All solutions are managed via a unified platform with native tools for access management, traceability, and security.

Powering it all, Colosseum — a supercomputer in development using NVIDIA Grace Blackwell Superchips — will train next-gen models exceeding 1T parameters.

Domyn partners with Microsoft, NVIDIA, and G42. Clients include Allianz, Intesa Sanpaolo, and Fincantieri.

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