Senior Ai / Ml Engineer

Solventum

Mexico
On-site
Ai/ml solutions
Large language models (llms)
Generative ai
Solventum is seeking a Senior AI/ML Engineer to develop innovative AI solutions in the healthcare sector. The ideal candidate should have extensive experience in machine learning, strong programming skills, and a commitment to improving healthcare outcomes

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.
  • Contribute to documentation, governance, and compliance processes to meet enterprise and regulatory standards, especially in healthcare and other regulated environments.

Matching Summary

Match Score: 85

Solventum is seeking a Senior AI/ML Engineer to develop innovative AI solutions in the healthcare sector. The ideal candidate should have extensive experience in machine learning, strong programming skills, and a commitment to improving healthcare outcomes.

Skills & Requirements

Must-have

  • AI/ML solutions
  • large language models (LLMs)
  • generative AI
  • retrieval-augmented generation (RAG)
  • agentic AI systems
  • Python programming language
  • ML libraries and frameworks
  • end-to-end ML pipelines
  • deep neural networks
  • cloud platforms

Nice-to-have

  • responsible AI principles
  • autonomous and/or multi-agent systems
  • regulated industries
  • healthcare compliance
  • continuous learning and innovation

Key Requirements

  • Bachelor’s Degree or higher in Computer Science, Data Science, Engineering, Mathematics, or related technical field AND 5-8 years of job-related experience OR High School Diploma/GED AND 10 years of experience
  • 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
  • Experience building end-to-end ML pipelines
  • Experience designing, training, and tuning deep neural networks
  • Exposure to autonomous and/or multi-agent systems
  • Familiarity with deploying or supporting AI solutions on cloud platforms

Work Rights

Not specified

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