AI/ML Engineer

Benefits

Additional Information

Thank you for your interest in joining Solventum. Solventum is a new healthcare company with a long legacy of solving big challenges that improve lives and help healthcare professionals perform at their best. At Solventum, people are at the heart of every innovation we pursue. Guided by empathy, insight, and clinical intelligence, we collaborate with the best minds in healthcare to address our customers' toughest challenges. While we continue updating the Solventum Careers Page and applicant materials, some documents may still reflect legacy branding. Please note that all listed roles are Solventum positions, and our Privacy Policy: https://www.solventum.com/en-us/home/legal/website-privacy-statement/applicant-privacy/ applies to any personal information you submit. As it was with 3M, at Solventum all qualified applicants will receive consideration for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Job Description: AI/ ML Engineer (Solventum) 3M Health Care is now Solventum At Solventum, we enable better, smarter, safer healthcare to improve lives. As a new company with a long legacy of creating breakthrough solutions for our customers' toughest challenges, we pioneer game-changing innovations at the intersection of health, material and data science that change patients' lives for the better while enabling healthcare professionals to perform at their best. Because people, and their wellbeing, are at the heart of every scientific advancement we pursue. We partner closely with the brightest minds in healthcare to ensure that every solution we create melds the latest technology with compassion and empathy. Because at Solventum, we never stop solving for you. The Impact You'll Make in this Role As an AI/ML Engineer, you will have the opportunity to tap into your curiosity and collaborate with some of the most innovative and diverse people around the world. Here, you will make an impact by: Design, develop, and implement AI/ML solutions to solve business problems, contributing to projects from proof of concept and pilot through production deployment. Build and apply both traditional machine learning models and modern AI techniques, including large language models (LLMs), generative AI, retrieval-augmented generation (RAG), and agentic AI systems. Collaborate with senior engineers, product managers, data scientists, and business stakeholders to refine project scope, technical approach, success metrics, and deployment requirements. Contribute to building scalable and maintainable AI systems with a focus on accuracy, robustness, fairness, and explainability, adhering to responsible AI principles. Apply model evaluation frameworks to assess performance, generalization, bias, and resilience to edge cases or adversarial inputs. Support the transition of AI prototypes into production-ready systems by partnering with platform and engineering teams on deployment, monitoring, and lifecycle management. Contribute to documentation, governance, and compliance processes to meet enterprise and regulatory standards, especially in healthcare and other regulated environments. Your Skills and Expertise To set you up for success in this role from day one, Solventum requires (at a minimum) the following qualifications: Bachelor's Degree or higher in Computer Science, Data Science, Engineering, Mathematics, or a related technical field AND 5-10 years of job-related experience. In addition to the above requirements, the following are also required: Proficiency in AI programming languages (e.g., Python) Hands-on experience with ML libraries and frameworks such as PyTorch, TensorFlow, scikit-learn, AWS Bedrock, and Azure AI Foundry Solid software engineering skills (testing, code quality, modular design, performance awareness) Experience building end-to-end ML pipelines (data preparation, training, evaluation, deployment integration) Experience designing, training, and tuning deep neural networks Understanding of model architecture, training dynamics, and evaluation techniques Exposure to autonomous and/or multi-agent systems, including basic agent orchestration and tool usage Understanding of reliability, safety, and evaluation considerations for agent-based systems Familiarity with deploying or supporting AI solutions on cloud platforms Professional proficiency in English required Additional qualifications that could help you succeed even further in this role include: Master's degree or higher in Computer Science, Machine Learning, AI, or related field. Exposure to regulated industries such as healthcare, with understanding compliance and governance requirements. Enthusiasm for solving complex AI problems and a strong desire for continuous learning and innovation. Additional Requirements In this role, you may be required to enter healthcare or other third-party facilities. Those facilities may

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