Machine Learning Engineer

About the Position

We are seeking a Machine Learning Engineer with expertise in deep learning to develop models for clinical questions using medical data. The role is based in Rozzano, IT, 20089.

Responsibilities

• Collaborate in research and development of innovative generative data models for effective synthetic data generation and digital twins in healthcare;
• Contribute to the design, development and deployment of medical software, code repositories and end-to-end pipelines using appropriate MLOps tools;
• Design and deploy machine learning pipelines in a production environment;
• Explore, define and support the clinical validation of the statistical and machine learning models applied to real-world data;
• Exploratory data analysis and integration of highly fragmented data;
• Innovative algorithms design and data analysis to discover and assess significant dynamics and patterns from complex data;
• Collaborate with international partners in both private industry and academia;

Requirements

• Core Skills:

  • Knowledge of machine learning/deep learning models and statistical techniques;
  • Understanding of data structures, data modeling and software architecture;
  • Experience in developing machine learning and deep learning solutions (classification, regression, clustering and generative models) in healthcare;
  • Experience in designing and building structured software and pipelines for technical users, such as Data Scientists;
  • Good proficiency in Python and R programming languages;
  • Experience in using frameworks such as Keras, PyTorch and Tensorflow;
  • Experience with deployment including knowledge of CI/CD, GIT versioning, containerization (Docker), MLOps practices and related concepts;
  • Knowledge of cloud providers (GCP, AWS, Azure) and/or distributed computing;
  • Knowledge of database systems and data lakes, good knowledge of SQL is appreciated;
  • Ability to design and develop backend API services and simple web pages for data science web applications;
  • Experience with Computer Vision, NLP;
  • Good knowledge of generative AI and LLM is preferred;

• Secondary Skills:

  • Master (PhD would be a plus) in a STEM discipline;
  • Fluent in written and spoken English and Italian;

Soft Skills

• Excellent team-working capabilities even with colleagues from different research areas and backgrounds;
• Strong self-motivation, commitment and proactive approach;
• Ability to meet deadlines and work autonomously in rapidly changing environments;
• Curiosity and ability of stepping outside your comfort zone.

We Offer

• Opportunity to work in a multidisciplinary team focused on e-health and AI projects;
• Collaborate with clinical staff (doctors, nurses, researchers) and management staff;
• Work in a research environment dedicated to optimizing clinical processes and improving patient care.

About the Company

The AI Center of Humanitas is focused on research in the field of Artificial Intelligence applied in healthcare. Research and development areas include predictive and decision-support systems based on data-driven models (ML/DL models) to optimize clinical processes and ultimately improve the quality of patient care. We are a team of multidisciplinary scientists who work day by day on e-health and AI projects, by collaborating with clinical staff (doctors, nurses, researchers) and management staff.