Apply

Ready to go for it?

AI Apply speeds things up—apply directly if you prefer.

FREE ACCESS
5,000–10,000 jobs/day
JobTailor Logo

See all jobs on JobTailor

Search thousands of fresh jobs every day.

Discover
  • Fresh listings
  • Fast filters
  • No subscription required
Create a free account and start exploring right away.
Solventum

Senior AI / ML Engineer

Solventum

. Architect, design and develop AI/ML solutions to solve novel business problems .

Posted 5/6/2026full-timeRemote • 🇲🇽 MexicoSeniorWebsite

Tech Stack

Tools & technologies
AWSAzureCloudPythonPyTorchScikit-LearnTensorflow

About the role

Key responsibilities & impact
  • Architect, design and develop AI/ML solutions to solve novel business problems
  • Implement traditional machine learning models and modern AI techniques, including LLMs, generative AI, RAG, and agentic AI systems
  • Collaborate closely with product managers, engineers, data scientists, and business stakeholders
  • Build robust, scalable, and maintainable AI systems
  • Develop and execute rigorous model evaluation frameworks
  • Transition AI prototypes into production-ready systems
  • Contribute to documentation, governance, and compliance processes

Requirements

What you’ll need
  • 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
  • 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 platforms
  • Master’s degree or higher in Computer Science, Machine Learning, AI, or related field is a plus
  • Exposure to regulated industries such as healthcare, with understanding compliance and governance requirements.
  • Professional proficiency in English required

Benefits

Comp & perks
  • Health insurance
  • 401(k) matching
  • Flexible work arrangements
  • Professional development
  • Wellness programs

ATS Keywords

✓ Tailor your resume
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
AI programming languagesPythonmachine learning modelsLLMsgenerative AIRAGagentic AI systemsML librariesPyTorchTensorFlow
Soft Skills
collaborationcommunicationproblem-solvingdocumentationgovernancecompliance
Certifications
Bachelor’s DegreeMaster’s degree