Senior Ai / Ml Engineer

Solventum

Mexico
**
Implement traditional ml and modern ai techniques
Build robust, scalable, and maintainable ai systems
Develop and execute rigorous model evaluation frameworks
** Solventum is seeking a Senior AI/ML Engineer to design and develop innovative AI solutions in healthcare. The ideal candidate should have extensive experience in machine learning, programming, and cloud platforms, along with a strong understanding of AI ethics and compliance, particularly in regulated environments. **

Job Summary

  • As a Senior AI/ML Engineer, you will 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.

Matching Summary

Match Score: 75

** Solventum is seeking a Senior AI/ML Engineer to design and develop innovative AI solutions in healthcare. The ideal candidate should have extensive experience in machine learning, programming, and cloud platforms, along with a strong understanding of AI ethics and compliance, particularly in regulated environments. **

Skills & Requirements

Must-have

  • implement traditional ML and modern AI techniques
  • build robust, scalable, and maintainable AI systems
  • develop and execute rigorous model evaluation frameworks
  • transition AI prototypes into production-ready systems
  • proficiency in AI programming languages (e.g., Python)
  • experience with ML libraries and frameworks
  • solid software engineering skills
  • experience building end-to-end ML pipelines
  • experience designing, training, and tuning deep neural networks
  • understanding of model architecture, training dynamics, and evaluation techniques
  • familiarity with deploying AI solutions on cloud platforms

Nice-to-have

  • collaboration with product managers and stakeholders
  • adherence to responsible AI principles
  • exposure to autonomous and/or multi-agent systems
  • understanding of reliability, safety, and evaluation considerations for agent-based systems
  • master’s degree or higher in related field
  • exposure to regulated industries such as healthcare
  • professional proficiency in English

Key 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 from AND 10 years of the same job-related experience
  • Must be legally authorized to work in country of employment without sponsorship for employment visa status

Work Rights

Not specified

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