Senior Manager Artificial Intelligence

Key Skills

Aartificial intelligence, Algorithms, Data science techniques, Deep Learning, Machine learning techniques, Python Programming, Signal processing

Job Description

• Lead a team of AI.
• Full-time · Mid-Senior level

Be responsible for:

• Lead Artificial Intelligence algorithm development and related algorithms including:

• Design and implement Machine Learning Algorithms to be integrated into the Company’s key products; Build the new models, evaluate and improve them.

• Provide technical direction and guidance on algorithm and AI/ML development.

• Assist team in planning and prioritizing their work.

• Conduct hands-on research working with noisy and complex data sets; Solve difficult unconventional problems, using advanced AI, ML, DL methods.

• Help select tools, equipment and infrastructure for prototyping and production environments.

• Work closely with the cloud solution (CARTONET) team for the development of AI algorithms that will be part of the cloud solution offering.

• Collaborate on data collection, management, and processing of data for algorithm development purposes, including:

• Working with the clinical research team in order to collaborate with them on data collection.

• Working closely with the cloud solution (CARTONET) team to receive and potentially manipulate/process the data that will contribute to the AI development.

• Collaborate with different J&J MedTech franchises in relation to AI and Data Science

• Working cross-functionally with many people and departments in the company – R&D, Project Managers, QA and Regulatory

• Drive innovation; promote knowledge and use of new tools

• Developing and building a strong talent

• Build new capabilities leveraging both internal talent and external expertise as required

• Provide scientific expertise to support multiple initiatives while being rooted in strong product-oriented and clinical understanding.

• Provide support for publications, patents and regulatory submissions.

LI-LM5

LI-Hybrid

QUALIFICATIONS

Requirements:

• Education – at least MSc in Engineering/ Computer Science/ Physics. PhD – an advantage

• At least 7 years of engineering industrial experience, of which 3 years of AI/machine learning related. Experience in Medical Devices- an advantage

• Experience in leading a team

• Knowledge about the most used machine learning algorithms (e.g. Neural Networks, Ensemble Tree methods, Reinforcement Learning)

• Experience in one or more object-oriented languages, including Python

• Experience with regression/classification problems using Machine Learning and Deep Learning

• Experience in developing cloud-based application; in deep learning, time series analysis or signal processing

• Advantage - Experience with a variety of data sets (Electronic Signals/Images)