Machine Learning Engineer

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

Descrizione del lavoro

A leading company in AI research is seeking a Machine Learning Engineer to join their Milan team. This role involves collaborating with developers and designers to implement cutting-edge machine learning models and mentor other engineers. The ideal candidate will have a Master's or PhD in a quantitative field and substantial experience in the machine learning space, alongside skills in Python and relevant libraries.

Servizi

Training budget for courses and books

Smart working opportunity

Company equity

Competenze

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

Mansioni

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

Conoscenze

Python programming

Machine Learning

Statistics

Data Analysis

Formazione

Master’s Degree or PhD in Computer Science

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 deep-tech company specializing in researching and developing Responsible AI for regulated industries, including financial services, government, and heavy industry. Active across Europe and the United States, it supports enterprises with proprietary, fully governable solutions, based on a composable AI architecture – including foundational LLMs, customizable AI agents, a unified AI governance platform, and one of the world’s largest supercomputers, designed to train trillion-parameter models for sovereign, mission-critical applications.

At the core of Domyn’s product offer is a chip-to-frontend architecture that lets organizations control the entire technological AI stack — from hardware to final application — engineered to guarantee full control, isolation, and security across the entire AI lifecycle.

The backbone of this architecture is a state-of-the-art foundational LLM series designed for advanced reasoning, and optimized to understand each business’s specific language, logic, and context. Available under an open-enterprise license, the full ownership of these models – Domyn Large and Domyn Small – can be permanently transferred and assigned to individual organizations.

Once deployed, they enable customizable agents that act on proprietary data to solve problems and perform specialized tasks. All agents and solutions are managed through a unified platform, with native tools for access management, traceability, and security.

Powering it all, the Colosseum supercomputer (currently in development) – one of the world’s largest – will train and deploy next-generation models (+1T parameters) with unprecedented power thanks to NVIDIA Grace Blackwell Superchips, completing Domyn’s chip-to-frontend framework.

Today, Domyn is one of the leaders in the AI landscape, with a client portfolio that includes Allianz, Intesa Sanpaolo and Fincantieri. It also has forged strategic partnerships with global leaders such as Microsoft, as well as NVIDIA and G42 for the development of the Colosseum supercomputer.

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