Manager in AI Engineering

Description:

Johnson & Johnson is currently seeking a Technical Manager in AI engineering to join our Data Science and Digital Health function Innovative Medicine Research & Development located in Hyderabad/ Bangalore, India. Remote work may be considered case-by-case and if approved by the Company.

At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at https://www.jnj.com/

Key Responsibilities:

• Lead and inspire direct reports to deliver high quality, high performance AI-based software functional products, using agile and other principles as appropriate.
• Manage and actively contribute to the (hands-on) development of high-performance AI-based solutions through state-of-the-art code and algorithm optimization.
• Follow and contribute (hands-on) to CI/CD, deployment, and documentation processes.
• Work with data scientists to capture model requirements to further produce the best model optimization (hardware and software) strategy.
• Program management through all development cycles, from prototyping to delivery.
• Leverage emerging scientific and technological developments to generate new solutions and initiatives for large-scale AI modeling.
• Present results on behalf of project team in a cross-functional setting, contextualizing fit within the broader project.
• Support the development of the local team and provide day-to-day assistance.
• Serve as the liaison between local and US teams.
• Manage resources, capacity planning, and operational needs.
  
  

Qualifications:

Required qualifications:

• A PhD or MSc in computer sciences, AI/ML, systems engineering, software engineering, or a related discipline.
• At least 3 years of relevant experience after PhD, or relevant experience after MSc.
• Demonstrated successful team leadership and project management skills in industry.
• Deep expertise in AI / deep learning with excellent analytical & computer science skills, including both software and hardware, as demonstrated by publications in top tier journals and conferences, awards, patents and others.
• Proficiency in more than one programming languages used in AI development (e.g., Python, C++) and related frameworks (e.g., Pytorch, Tensorflow).
• Hands-on expertise in AI systems engineering, algorithm optimization and hardware acceleration
• High-quality software development (CI/CD, deployment, documentation) through all development cycles, from prototyping to delivery.
• Demonstrated expertise in optimizing large AI models, both training and deployment
• Excellent knowledge of AI technical trends (software and hardware)
• Ability to capture model requirements and ask the right questions to produce the best model optimization (software and hardware) strategy.
• Excellent program management skills.
• Analytical mindset and critical thinking.
• Ability to continuously learn and acquire new knowledge and skills.
• Ability to effectively communicate technical work to a wide and diverse audience in an international setting.
• Passionate in implementing the best approach for performant AI models, to improve training efficiency / cost as well as seamless, cost effective AI deployment
• Can-do attitude and ability to work in a diverse, multi-disciplinary team.
  
  

Preferred (“nice-to-have”) qualifications:

• Experience in healthcare industry and its regulated environment.
• Familiarity with drug discovery, drug safety, and clinical development processes.
• Knowledge in one or multiple healthcare or pharmaceutical industry functions and disease areas