AI Scientist

Role Overview: You have the opportunity to join Solventum as an AI Scientist to contribute to building and scaling AI-driven healthcare solutions. In this role, you will play a crucial part in developing Healthcare Information System (HIS) applications, transitioning from experimental notebooks to creating real-world, secure, and scalable AI/ML applications. Your work will involve exploring various AI technologies to ensure the tools are reliable and transformative for both clinicians and patients. Key Responsibilities: - Model Development & Deployment - Design, train, and fine-tune ML models using classical statistical methods and modern deep learning architectures. - Assist in the full-cycle execution of models from data cleaning and feature engineering to deployment in production environments. - Implement LLM-based components and agentic workflows to enhance system reasoning and natural language capabilities. - Data Science & Engineering - Process and analyze structured and unstructured healthcare data to extract actionable insights. - Conduct rigorous testing to ensure model accuracy, fairness, and safety within the highly regulated healthcare context. - Optimize models for latency and throughput to meet the demands of real-time healthcare applications. - Collaboration & Growth - Work independently or collaboratively with other scientists and engineers to translate research requirements into production-ready code. - Maintain clear documentation of experiments, model architectures, and data pipelines to ensure reproducibility. Qualification Required: - Education & Experience: - Masters in Computer Science, AI, Machine Learning, or related field (or a Bachelors with 5+ years of relevant industry experience). - Hands-on Experience: - At least 3 years of experience in developing and deploying AI/ML models in a professional or intensive academic setting. - Core Technical Stack: - Solid foundation in Classical ML and Deep Learning. - Proficiency in Python and standard ML libraries. - Bonus Points (Preferred): - Familiarity with MLE/MLOps, cloud platforms, and healthcare data privacy. Solventum is dedicated to upholding integrity and professionalism in the recruitment process. Applicants are advised to be cautious of fraudulent job postings and recruitment schemes claiming to represent Solventum. All legitimate email communications regarding job opportunities from Solventum will be sent from an email domain ending with @solventum.com. Ensure to provide your education and work history while applying to avoid your application from being disregarded. Role Overview: You have the opportunity to join Solventum as an AI Scientist to contribute to building and scaling AI-driven healthcare solutions. In this role, you will play a crucial part in developing Healthcare Information System (HIS) applications, transitioning from experimental notebooks to creating real-world, secure, and scalable AI/ML applications. Your work will involve exploring various AI technologies to ensure the tools are reliable and transformative for both clinicians and patients. Key Responsibilities: - Model Development & Deployment - Design, train, and fine-tune ML models using classical statistical methods and modern deep learning architectures. - Assist in the full-cycle execution of models from data cleaning and feature engineering to deployment in production environments. - Implement LLM-based components and agentic workflows to enhance system reasoning and natural language capabilities. - Data Science & Engineering - Process and analyze structured and unstructured healthcare data to extract actionable insights. - Conduct rigorous testing to ensure model accuracy, fairness, and safety within the highly regulated healthcare context. - Optimize models for latency and throughput to meet the demands of real-time healthcare applications. - Collaboration & Growth - Work independently or collaboratively with other scientists and engineers to translate research requirements into production-ready code. - Maintain clear documentation of experiments, model architectures, and data pipelines to ensure reproducibility. Qualification Required: - Education & Experience: - Masters in Computer Science, AI, Machine Learning, or related field (or a Bachelors with 5+ years of relevant industry experience). - Hands-on Experience: - At least 3 years of experience in developing and deploying AI/ML models in a professional or intensive academic setting. - Core Technical Stack: - Solid foundation in Classical ML and Deep Learning. - Proficiency in Python and standard ML libraries. - Bonus Points (Preferred): - Familiarity with MLE/MLOps, cloud platforms, and healthcare data privacy. Solventum is dedicated to upholding integrity and professionalism in the recruitment process. Applicants are advised to be cautious of fraudulent job postings and recruitment schemes claiming to represent Solventum. All legi