Senior Machine Learning Engineer (Gen AI)

Innovation starts from the heart. At Edwards Lifesciences, we’re dedicated to developing ground-breaking technologies with a genuine impact on patients’ lives. At the core of this commitment is our investment in cutting-edge information technology. This supports our innovation and collaboration on a global scale, enabling our diverse teams to optimize both efficiency and success. As part of our IT team, your expertise and commitment will help facilitate our patient-focused mission by developing and enhancing technological solutions.

Responsible for understanding business gaps/opportunities that can be resolved using AI/ML solutions. Design, develop and test quick AI/ML prototypes that addresses identified business gaps.

How you'll make an impact:
• Provide highly complex design, development and deployment of scalable and efficient AI/ML models both for prototyping purposes as well as for production deployment.
• Collaborate with cross-functional teams (data scientists, software engineers, product managers, business leads) to define requirements and ideate solutions using AI/ML frameworks.
• Participate in agile development processes, including sprint planning, daily stand-ups and demo prototypes or milestone updates when necessary
• Drive research and experimentation to explore new AI/ML techniques, tools, and frameworks.
• Build end-to-end data pipelines for collecting, processing, and analyzing large-scale datasets.
• Ensure code and model development are well-documented and follow best engineering practices.
• Improve and optimize the performance of models, ensuring robustness, scalability, and efficiency.
• Other incidental duties

What you'll need (required):
• Bachelor's degree in engineering or technical field

• 4 years' experience in IT demonstrably solid performance in a role working with cross-functional teams (within IT and/or within the business) on enterprise-level or complex/novel system implementations Required

What else we look for:

• Advanced English level
• Proficiency in programming languages such as Python, Java, C++, or similar.
• Experience with machine learning libraries and frameworks (e.g., TensorFlow, PyTorch, Scikit-learn, Keras, etc.).
• Strong understanding of machine learning algorithms, statistics, and data structures.
• Experience with cloud platforms such as AWS or Azure for model deployment and data storage.
• Familiarity with big data technologies like Hadoop, Spark, or similar tools is a plus.
• Solid experience with version control systems (Git) and agile development methodologies.
• Experience with deep learning techniques (e.g., CNNs, RNNs, GANs, etc.).
• Knowledge of data engineering practices and tools like Apache Kafka, Airflow, etc.
• Strong communication skills and the ability to work effectively in cross-functional teams.
• Excellent problem solving skills
• Strict attention to detail
• Ability to manage competing priorities in a fast paced environment
• Adhere to all company rules and requirements (e.g., pandemic protocols, Environmental Health & Safety rules) and take adequate control measures in preventing injuries to themselves and others as well as to the protection of environment and prevention of pollution under their span of influence/control