AI/ML Technical Manager
Hace 1 día
México
MEX Solventum Mexico S. de R.L. de C.V.
Jornada completa
EUR 2 Por obra
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Al continuar, aceptas nuestros Términos & Política de Privacidad.
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 Technical Manager 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
- Lead and develop a multidisciplinary AI/ML technical team, including AI engineers and data engineers, with accountability for hiring, onboarding, career growth, technical skill development, performance coaching, and day‑to‑day people leadership in a global delivery environment.
- Serve as a hands‑on technical leader by architecting, designing, and guiding development of AI/ML solutions from problem framing and feasibility assessment through proof of concept, pilot, production deployment, monitoring, and lifecycle management.
- Apply traditional machine learning and modern AI techniques, including deep learning, statistical modeling, large language models, generative AI, retrieval‑augmented generation, and agentic AI systems, to solve complex, ambiguous, and novel business problems.
- Partner with product managers, engineers, data scientists, platform teams, business stakeholders, and enterprise architecture to define scope, technical approach, success metrics, deployment requirements, integration needs, and adoption plans for AI‑enabled solutions.
- Build scalable, reliable, and maintainable AI systems with rigorous model evaluation practices focused on performance, generalization, robustness, fairness, explainability, data quality, edge cases, human review points, and responsible AI principles.
- Ensure AI solutions align with enterprise documentation, governance, privacy, security, compliance, and regulatory expectations while communicating technical strategy, trade‑offs, risks, milestones, and business outcomes clearly to senior and executive stakeholders. 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, Artificial Intelligence, Machine Learning, Data Science or a related technical field AND 10 years of job related experience
- 8+ years of experience working in AI/ML roles, with track record of delivering production AI solutions
- 3+ years of experience managing and developing technical teams
- Professional proficiency in English required, with regular collaboration across global teams.
- Strong foundation in traditional AI and machine learning techniques, such as deep learning, decision trees, random forests, optimization techniques and statistical modeling
- Hands on experience with modern AI approaches, including large language models (LLMs) and transformer architectures, Retrieval‑Augmented Generation (RAG) systems, Agentic AI and autonomous or semi‑ autonomous AI architectures Additional qualifications that could help you succeed even further in this role include:
- Advanc
Job Description
AI/ML Technical Manager 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
- Lead and develop a multidisciplinary AI/ML technical team, including AI engineers and data engineers, with accountability for hiring, onboarding, career growth, technical skill development, performance coaching, and day‑to‑day people leadership in a global delivery environment.
- Serve as a hands‑on technical leader by architecting, designing, and guiding development of AI/ML solutions from problem framing and feasibility assessment through proof of concept, pilot, production deployment, monitoring, and lifecycle management.
- Apply traditional machine learning and modern AI techniques, including deep learning, statistical modeling, large language models, generative AI, retrieval‑augmented generation, and agentic AI systems, to solve complex, ambiguous, and novel business problems.
- Partner with product managers, engineers, data scientists, platform teams, business stakeholders, and enterprise architecture to define scope, technical approach, success metrics, deployment requirements, integration needs, and adoption plans for AI‑enabled solutions.
- Build scalable, reliable, and maintainable AI systems with rigorous model evaluation practices focused on performance, generalization, robustness, fairness, explainability, data quality, edge cases, human review points, and responsible AI principles.
- Ensure AI solutions align with enterprise documentation, governance, privacy, security, compliance, and regulatory expectations while communicating technical strategy, trade‑offs, risks, milestones, and business outcomes clearly to senior and executive stakeholders. 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, Artificial Intelligence, Machine Learning, Data Science or a related technical field AND 10 years of job related experience
- 8+ years of experience working in AI/ML roles, with track record of delivering production AI solutions
- 3+ years of experience managing and developing technical teams
- Professional proficiency in English required, with regular collaboration across global teams.
- Strong foundation in traditional AI and machine learning techniques, such as deep learning, decision trees, random forests, optimization techniques and statistical modeling
- Hands on experience with modern AI approaches, including large language models (LLMs) and transformer architectures, Retrieval‑Augmented Generation (RAG) systems, Agentic AI and autonomous or semi‑ autonomous AI architectures Additional qualifications that could help you succeed even further in this role include:
- Advanc