Senior Data Engineer – AI, ML Enablement

🕒 March 7

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Solventum

WebsiteLinkedInAll Job Openings

10,000+ employees

⚕️ Healthcare Insurance

📚 Education

🧘 Wellness

Healthcare Insurance • Education • Wellness

Solventum is a healthcare-focused company renowned for its innovative solutions aimed at improving medical and oral care outcomes. The company offers a variety of medical technologies, including advanced wound care, surgical solutions, and sterilization products. Solventum also provides advanced oral care solutions, health information and technology services, and purification and filtration products for biopharmaceutical applications. Furthermore, Solventum places a strong emphasis on sustainability and education, providing resources and training for healthcare professionals globally. Their commitment to innovation and better healthcare has made them a leader in the healthcare industry, dedicated to enhancing patient safety and healthcare efficiencies.

📋 Description

• Architect, design and develop AI/ML solutions to solve novel business problems, taking ideas from problem framing through proof of concept, pilot, and full production deployment. • Implement 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 closely with product managers, engineers, data scientists, and business stakeholders to define project scope, technical approach, success metrics, and deployment requirements. • Build robust, scalable, and maintainable AI systems with a focus on accuracy, robustness, fairness, and explainability, adhering to responsible AI principles. • Develop and execute rigorous model evaluation frameworks to assess performance, generalization, bias, and resilience to edge cases or adversarial inputs. • Transition AI prototypes into production-ready systems by partnering with platform and engineering teams to ensure seamless 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.

🎯 Requirements

• Bachelor’s Degree or higher in Computer Science, Data Science, Engineering, Mathematics, or a related technical field AND 5-8 years of job-related experience OR High School Diploma/GED AND 10 years of the same job-related experience • 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 • Familiarity with deploying or supporting AI solutions on cloud platforms • Must be legally authorized to work in country of employment without sponsorship for employment visa status.

🏖️ Benefits

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