Senior Engineer, AI & Machine Learning

Vaga não está no LinkedIn

🕒 Dezembro 17, 2025

🇮🇳 Índia – Remoto

⏰ Tempo Integral

🟠 Sênior

🤖 Engenheiro de IA

🗣️🇺🇸🇬🇧 Inglês obrigatório

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Logo of Edwards Lifesciences

Edwards Lifesciences

10.000+ funcionários

Fundada em 1958

🏥 Saúde

💼 Consultoria

🍽️ Alimentos e Bebidas

Healthcare • Consulting • Food & Beverage

A Edwards Lifesciences é líder global em inovações médicas centradas no paciente. A empresa é especializada em soluções para doenças de válvulas cardíacas, oferecendo produtos e serviços como válvulas cardíacas transcateter e tecnologias mitrais e tricúspides, além de soluções cirúrgicas para válvulas cardíacas. A Edwards Lifesciences também se concentra em tecnologias de cuidados críticos, incluindo monitoramento hemodinâmico, monitoramento remoto e monitoramento preditivo. A empresa realiza pesquisa clínica e está comprometida em melhorar a vida dos pacientes por meio de soluções inovadoras para doenças cardiovasculares, atuando, ao mesmo tempo, como cidadã corporativa responsável, com ênfase em filantropia corporativa global.

Descrição

• 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. • Stay up-to-date with the latest trends and advancements in machine learning and AI.

🎯 Requisitos

• 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. • 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.

🏖️ Benefícios

• Health insurance • Retirement plans • Paid time off • Flexible work arrangements • Professional development

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