Senior Engineer, AI & Machine Learning

Edwards Lifesciences Gruppe; Singapore; On-site; SGD 90,000 - 130,000; Full time

Job summary

Edwards Lifesciences is seeking a Senior Engineer in AI & Machine Learning in Singapore. The role involves developing and deploying ML models, collaborating with diverse teams, and leading projects to refine technological solutions that impact patient care. Candidates should have substantial experience in ML engineering and strong programming skills.

Qualifications

• 5+ years of professional experience in ML engineering.
• Proficiency in Python, Java, or C++.
• Experience deploying models in production environments.

Responsibilities

• Participate in agile development processes.
• Collaborate with cross-functional teams to deliver ML solutions.
• Mentor junior engineers and optimize ML models.

Skills

Machine Learning Engineering

Programming in Python

Agile Development

Collaborative Skills

Natural Language Processing

Data Processing

Education

Bachelor's or Master's degree in Computer Science

PhD in related field

Tools

TensorFlow

PyTorch

AWS

Azure

Git

Job description

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Senior Engineer, AI & Machine Learning

Apply locations Singapore time type Full time posted on Posted 30+ Days Ago job requisition id Req-40202

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.

How you will make an impact:

• Participate in agile development processes, including sprint planning and daily stand-ups
• Collaborate with cross-functional teams (data scientists, software engineers, product managers, business leads) to define requirements and deliver high-quality ML solutions.
• Conduct demos to showcase progress and gather feedback.
• Conduct research on open-source tools and ML techniques relevant to the medical domain
• Design, implement, and optimize generative AI solutions (eg:, chatbots, content generators, code assistants).
• Lead the development and deployment of scalable and efficient ML models in production environments as well as fine tune large language models (LLMs).
• Drive research and experimentation to explore new ML techniques, tools, and frameworks.
• Build end-to-end data pipelines for collecting, processing, and analyzing large-scale datasets.
• Mentor junior engineers and contribute to the development of team processes and best practices.
• Stay up-to-date with the latest trends and advancements in machine learning and AI.

What you'll need (Requirements):

• Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, or related field (PhD is a plus).
• 5+ years of professional experience in machine learning engineering, with a strong focus on deploying machine learning models in production environments.
• Proficiency in programming languages such as Python, Java, C++, or similar.
• Experience with GenAI models (eg:, GPT, BERT, T5, DALL-E, Stable Diffusion)
• Experience with machine learning libraries and frameworks (e.g., TensorFlow, PyTorch, Scikit-learn, Keras, etc.).
• Experience with prompt engineering and model fine tuning.
• 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.
• Strong communication skills and the ability to work effectively in cross-functional teams.

What else we look for (Preferred):

• Experience with deep learning techniques (e.g., CNNs, RNNs, GANs, etc.).
• Familiarity with MLOps and tools for model deployment and monitoring (e.g., MLflow, Kubeflow, Docker, Kubernetes).
• Expertise in natural language processing (NLP) or computer vision (CV) applications is a plus.
• Knowledge of data engineering practices and tools like Apache Kafka, Airflow, etc.
• Experience deploying models in production environments.

About Us

Edwards Lifesciences is the global leader in patient-focused medical innovations for structural heart disease, as well as critical care and surgical monitoring. Driven by a passion to help patients, the company collaborates with the world's leading clinicians and researchers to address unmet healthcare needs, working to improve patient outcomes and enhance lives. Headquartered in Irvine, California, Edwards Lifesciences has extensive operations in North America, Europe, Japan, Latin America and Asia and currently employs over 15,000 individuals worldwide.

For us, helping patients is not a slogan - it's our life's work. From developing devices that replace or repair a diseased heart valve to creating new technologies that monitor vital signs in the critical care setting, we focus on helping patients regain and improve the quality of their life.