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Solventum

Global healthcare company: wound care, dental

AI/ML Technical Manager

Applied Machine LearningConfirmed live in the last 24 hours
Full-timeMexico City, CDMX, MexicoNo salary listed

About the Job

Requirements

  • A 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.
  • At least 8 years of experience in AI/ML roles, with a track record of delivering production AI solutions.
  • At least 3 years of experience managing and developing technical teams.
  • Professional proficiency in English, with regular collaboration across global teams.
  • A strong foundation in traditional artificial intelligence and machine learning techniques, including deep learning, decision trees, random forests, optimization techniques, and statistical modeling.
  • Hands-on experience with large language models and transformer architectures, Retrieval-Augmented Generation systems, Agentic AI, and autonomous or semi-autonomous AI architectures.
  • Must be legally authorized to work in the country of employment without employment visa sponsorship.

Responsibilities

  • 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.
  • Architect, design, and guide 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 model evaluation 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; communicate technical strategy, tradeoffs, risks, milestones, and business outcomes to senior and executive stakeholders.

Desired Qualifications

  • An advanced degree, such as a master's or PhD, in artificial intelligence, machine learning, or a related field.
  • Experience launching multiple AI products or programs in parallel, particularly in global or regulated industries such as healthcare or medtech.
  • Experience leading multidisciplinary AI research and development teams innovating at the forefront of the field.
  • Familiarity with cloud-native AI/ML platforms such as Azure, AWS, or GCP, and ability to evaluate and integrate external AI technologies or vendors.
  • Success driving end-to-end process improvements and operational excellence across complex programs.
  • Ability to lead, motivate, and develop diverse technical teams.

About the Company

Solventum

Global healthcare company: wound care, dental

Solventum is a global healthcare company spun off from 3M in 2024 and traded on the NYSE as SOLV, with four segments: MedSurg, Dental Solutions, Health Information Systems, and Purification and Filtration. MedSurg covers wound care and surgical supplies, Dental Solutions handles orthodontics and dental procedures, Health Information Systems provides clinical documentation and data-management software for hospitals, and Purification and Filtration offers filtration technologies for biopharmaceuticals and dialysis membranes. It serves providers through direct sales, distributors, and e-commerce, and it holds a portfolio of over 7,300 patents, giving it a broad platform that combines devices, software, and filtration technologies. The company aims to streamline operations, strengthen its commercial model, and pursue growth through disciplined portfolio management and mergers and acquisitions to scale healthcare solutions globally.

Company size
10,001+
Company stage
IPO
Headquarters
Eagan, MN
Founded
2023

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