Machine Learning Developer

April 10

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Logo of Solventum

Solventum

Solventum is a healthcare company that develops innovative products and services aimed at improving patient outcomes and enhancing the efficiency of healthcare. The company offers a wide range of solutions including advanced wound care, oral care, health information and technology, and purification and filtration systems. Solventum is committed to evidence-based care and continuous healthcare education, providing support through peer-to-peer programs and innovative developments such as 3D printed aligner attachments. It places a strong emphasis on sustainability, aiming for 100% renewable electricity by 2030. With a focus on enabling better, smarter, safer healthcare, Solventum works closely with healthcare professionals to address chronic health needs and provide trusted, leading brands.

📋 Description

• As a Senior Software Engineer, you will have the opportunity to tap into your curiosity and collaborate with innovative minds. • Make an impact by automating aspects of the machine learning model lifecycle and supporting data scientists. • Implement and execute best practices and security standards for operating with protected data. • Design, implement, and contribute to shared libraries for data engineering, model training, model deployment, and CI/CD tooling.

🎯 Requirements

• Bachelor’s Degree or higher (completed and verified prior to start) from an accredited university AND five (5) years of experience in software industry in a private, public, government or military environment. • OR High School Diploma/GED from an accredited institution and a minimum of 9 years of experience in software industry in a private, public, government or military environment. • AND Expertise in one or more programming languages, Python preferred (e.g. Python, Java, Go, C++, etc). • Hands-on experience with CI/CD workflows, containerization, and infrastructure as code (IaC). • Additional qualifications that could help you succeed even further: Master’s degree in computer science or a related field. • Experience building in a cloud-first environment in a highly regulated sector, preference given to AWS. • Experience with data extract, transform, and load (ETL) pipelines at large scale. • Hands-on experience with machine learning technologies and platforms such as PyTorch, TorchServe, and AWS SageMaker. • Track record of taking initiative to improve developer workflows and end-to-end machine learning pipelines.

🏖️ Benefits

• Relocation Assistance: May be authorized. • Competitive pay and benefits based on market benchmarking. • Programs to support physical and financial well-being.

Apply Now

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