Senior Engineer, AI & Machine Learning

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5 hours ago

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Edwards Lifesciences

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Healthcare Insurance • Biotechnology • Medical Devices

Edwards Lifesciences is a global leader in patient-focused medical innovations. The company specializes in heart valve disease solutions, offering products and services such as transcatheter heart valves and mitral and tricuspid technologies, as well as surgical heart valve solutions. Edwards Lifesciences also focuses on critical care technologies including hemodynamic monitoring, remote monitoring, and predictive monitoring. The company conducts clinical research and is committed to improving patient lives through innovative cardiovascular disease solutions, while being a responsible corporate citizen with an emphasis on global corporate giving.

10,000+ employees

Founded 1958

⚕️ Healthcare Insurance

🧬 Biotechnology

📋 Description

• 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. • Develop and implement end-to-end AI/ML models and workflows within the Palantir Foundry and AIP environment. • Conduct research on open-source tools and ML techniques relevant to the medical domain. • Design, implement, and optimize advanced machine learning algorithms to solve complex business problems. • Lead the development and deployment of scalable and efficient ML models in production environments. • 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.

🎯 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. • 1+ years of hands on experience with Palantir Foundry ecosystem and AIP. • 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 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.

🏖️ Benefits

• Health insurance • 401(k) matching • Flexible working hours • Paid time off • Professional development opportunities