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Machine Learning Engineer

A deep-tech company specializing in researching and developing Responsible AI for regulated industries, including financial services, government, and heavy industry.
Milan, Metropolitan City of Milan, Italy
$43,000 - $75,000
Machine Learning
Mid-Level Software Engineer
Remote
101 - 500 Employees
2+ years of experience
AI · Enterprise SaaS · Finance

Description For Machine Learning Engineer

Domyn, a leading deep-tech company specializing in Responsible AI for regulated industries, is seeking a Machine Learning Engineer to join their team in Milan. This role offers a unique opportunity to work at the intersection of cutting-edge AI technology and enterprise solutions.

The position requires a Master's or PhD degree in quantitative fields and at least 2 years of experience in machine learning engineering. You'll be working with a cross-functional team of developers, designers, and data scientists to implement and optimize machine learning models that integrate into Domyn's product ecosystem. The role involves working with state-of-the-art technologies including foundational LLMs, AI agents, and one of the world's largest supercomputers.

As a Machine Learning Engineer at Domyn, you'll be part of a company that's making significant strides in the AI landscape, with impressive partnerships with industry giants like Microsoft, NVIDIA, and G42. The company serves major clients including Allianz, Intesa Sanpaolo, and Fincantieri, providing you with exposure to high-impact projects in regulated industries.

The compensation package is competitive, ranging from €40,000 to €70,000, plus opportunities for equity and bonuses. Domyn offers a flexible work environment with remote options and emphasizes continuous learning through their Learning Friday initiative, which provides a dedicated training budget for professional development.

This role is perfect for someone who combines strong technical skills in machine learning with a collaborative mindset and a desire to contribute to cutting-edge AI solutions. You'll have the opportunity to work with advanced technologies while helping shape the future of AI in regulated industries.

Last updated 17 hours ago

Responsibilities For Machine Learning Engineer

  • Work with Developers, Designers and Data Scientists to understand customers' needs
  • Implement and test machine learning models as efficient services
  • Explore state-of-the-art Machine Learning research
  • Improve scientific and engineering skills
  • Mentor and guide team members

Requirements For Machine Learning Engineer

Python
Kubernetes
  • Master's Degree or PhD in quantitative fields (Computer Science, Engineering, Stats, Math, or Physics)
  • At least 2 years of proven experience as a Machine Learning Engineer (or a PhD)
  • Understanding of statistics and machine learning fundamentals
  • Knowledge in Recommender Systems, NLP, Information Retrieval, Causal Inference, Time Series, or Knowledge Graph
  • Experience with Python and data science libraries (NumPy, Pandas, Scikit-learn)
  • Experience with TensorFlow or PyTorch
  • Knowledge of Git and Docker
  • Fluent in English
  • Strong communication skills

Benefits For Machine Learning Engineer

Education Budget
  • Learning Friday with training budget for books and courses
  • Smart Working (work from home option)
  • Competitive salary with bonuses
  • Company equity opportunity
  • Training and development opportunities

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