AI / ML Engineer
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Gracias por tu interés en unirte a Solventum. Solventum es una empresa nueva en el ámbito de salud, pero con una sólida experiencia en la resolución de desafíos que transforman vidas y fortalecen el trabajo de los profesionales de la salud. En Solventum, las personas son el centro de cada innovación que desarrollamos. Con empatía, conocimiento y criterio clínico, trabajamos en conjunto con los líderes más destacados del sector para enfrentar los retos más complejos de nuestros clientes. Mientras continuamos actualizando nuestra Página de Carreras y los materiales dirigidos a los postulantes, es posible que algunos documentos aún muestren la marca anterior. Ten en cuenta que todas las oportunidades laborales publicadas pertenecen a Solventum, y que la Política de Privacidad mencionada https://www.solventum.com/en-us/home/legal/website-privacy-statement/applicant-privacy/a cualquier información personal que proporciones. Al igual que en 3M, en Solventum se brinda igualdad de oportunidades a todos los candidatos calificados, sin distinción de raza, color, religión, sexo, orientación sexual, identidad de género, origen nacional, discapacidad o estatus como veterano protegido. En Solventum, desarrollamos soluciones innovadoras para enfrentar los retos más complejos de nuestros clientes, liderando avances en salud mediante la combinación de ciencia médica, de materiales y de datos. Nuestro propósito es mejorar la vida de los pacientes y apoyar a los profesionales de la salud para que se desempeñen de la mejor manera posible. 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 2-5 years of job-related experience OR High School Diploma/GED from AND 7 years of the same 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 pl
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