Job Summary:

As the AI Engineer Leader, you will be responsible for defining and value proposition and the development of our AI infrastructure that supports various machine learning and AI initiatives across the organization as well as for external stakeholders like research teams and start-ups. You will steer an interdisciplinary team of scientists, engineers, researchers as well as product managers but also collaborate with external stakeholders to ensure the efficient and scalable deployment of AI systems. You will drive the AI business.

Key Responsibilities:

1. Leadership and Team Management:

• Build, steer, and manage a team of product-/project managers, data scientists, AI researchers and engineers.
• Foster a culture of innovation, collaboration, and continuous improvement.
• Set clear goals, provide regular feedback, and conduct performance evaluations.

2. Business and Product Experience:

• Develop our AI Research + Marketplace product- and value offering to customers.
• Define and steer the development roadmap.
• Bring in your business and research experience with Data, Machine Learning and AI architectures.
• Create a partnership network with academia, industry and HCP for AI Healthcare applications and data access.
• Drive our AI Business Case.

3. AI System Deployment:

• Oversee the deployment of machine learning models and AI solutions in production environments.
• Collaborate with data scientists to integrate AI models into the infrastructure.
• Monitor and optimize the performance of AI. systems.

4. Strategic Planning:

• Develop and execute a strategic roadmap for AI infrastructure development.
• Stay up-to-date with industry trends and emerging technologies.
• Evaluate and recommend new tools, frameworks, and platforms.

5. Collaboration and Communication:

• Work closely with cross-functional teams to understand their AI infrastructure needs.
• Communicate technical concepts and project status to non-technical stakeholders.
• Coordinate with external vendors and partners as necessary. systems.

Qualifications:

Education:

Bachelor's or Master’s degree in Computer Science, Mathematics or a related field. Academic Research Experience for Machine Learning, Neural Networks and AI, PhD is a plus.

Experience:

• Minimum of 3 years of business experience in AI, neural networks, transformer technology and/or machine learning.
• Strong background in designing and deploying large-scale AI systems and products.
• Domain know-how in healthcare is a plus. systems.

Technical Skills:

• Deep understanding of machine and deep learning techniques as supervised and unsupervised learning.
• Experiences with deep learning techniques and architectures of neural networks and large language models.
• Business experiences with cloud computing platforms such as Azure or Google GCP. systems.

Soft Skills:

• Excellent problem-solving and analytical skills.
• Strong communication and interpersonal abilities.
• Ability to work in a fast-paced and dynamic environment. systems.
• Networking. systems.

Language Skills:

• English
• French or Italian is a plus

Location:

• Should sooner or later be Italy