Senior Engineer, AI & Machine Learning

About this role

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Skills you'll use

What you'll do

• 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
• Leverage Palantir AIP features, such as Agent Studio, RAG (retrieval-augmented generation) workflows, and copilots, to ground models in relevant data sources and the Ontology.
• 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.

Who can apply

• 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.
• 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.

About Edwards Lifesciences

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