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Senior Engineer, AI & Machine Learning

Global leader in medical innovations focused on structural heart disease, critical care, and surgical monitoring.
Machine Learning
Senior Software Engineer
In-Person
5,000+ Employees
5+ years of experience
Healthcare · AI

Description For Senior Engineer, AI & Machine Learning

Edwards Lifesciences, a global leader in medical innovations, is seeking a Senior Engineer specializing in AI & Machine Learning to join their innovative IT team. This role represents a unique opportunity to work at the intersection of healthcare and cutting-edge technology, where your work will directly impact patient care and medical advancement.

The position involves leading the development and implementation of machine learning solutions, with a particular focus on generative AI applications and large language models. You'll be working with state-of-the-art technologies and frameworks while collaborating with cross-functional teams including data scientists, software engineers, and product managers.

As a Senior Engineer, you'll be responsible for designing and deploying scalable ML models in production environments, building robust data pipelines, and conducting research on emerging ML techniques relevant to the medical domain. The role offers significant opportunity for technical leadership, including mentoring junior engineers and contributing to best practices and team processes.

Edwards Lifesciences offers an environment where innovation starts from the heart, literally and figuratively. The company's commitment to developing ground-breaking technologies that have a genuine impact on patients' lives makes this role particularly meaningful. With operations across North America, Europe, Japan, Latin America, and Asia, and a workforce of over 13,000 people, you'll be part of a global organization with significant resources and reach.

The ideal candidate will bring a strong technical foundation in ML engineering, with experience in both traditional ML and modern generative AI techniques. You'll need to be comfortable with production deployments, familiar with cloud platforms, and have excellent communication skills. This role offers the opportunity to work on meaningful healthcare applications while staying at the forefront of AI/ML technology.

If you're passionate about using your technical expertise to make a real difference in healthcare and want to work with a company where helping patients isn't just a slogan but the work of their lives, this role presents an excellent opportunity to combine technical innovation with meaningful impact.

Last updated 20 hours ago

Responsibilities For Senior Engineer, AI & Machine Learning

  • Participate in agile development processes, including sprint planning and daily stand-ups
  • Collaborate with cross-functional teams to define requirements and deliver ML solutions
  • Design, implement, and optimize generative AI solutions
  • Lead development and deployment of scalable ML models in production
  • Build end-to-end data pipelines for collecting, processing, and analyzing large-scale datasets
  • Mentor junior engineers and contribute to team processes
  • Conduct research on open-source tools and ML techniques
  • Fine tune large language models (LLMs)

Requirements For Senior Engineer, AI & Machine Learning

Python
Java
Kubernetes
  • Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, or related field
  • 5+ years of professional experience in machine learning engineering
  • Proficiency in programming languages such as Python, Java, C++
  • Experience with GenAI models (GPT, BERT, T5, DALL-E, Stable Diffusion)
  • Experience with machine learning libraries and frameworks
  • Experience with prompt engineering and model fine tuning
  • Experience with cloud platforms such as AWS or Azure
  • Solid experience with version control systems and agile methodologies
  • Strong communication skills

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