Senior Data Engineer – AI, ML Enablement
Solventum
full-time
Posted on:
Location Type: Remote
Location: Mexico
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Job Level
About the role
- 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.
- Build robust, scalable, and maintainable AI systems with a focus on accuracy, robustness, fairness, and explainability, adhering to responsible AI principles.
- Develop and execute rigorous model evaluation frameworks to assess performance, generalization, bias, and resilience to edge cases or adversarial inputs.
- Transition AI prototypes into production-ready systems by partnering with platform and engineering teams to ensure seamless deployment, monitoring, and lifecycle management.
- Contribute to documentation, governance, and compliance processes to meet enterprise and regulatory standards, especially in healthcare and other regulated environments.
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 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
- Familiarity with deploying or supporting AI solutions on cloud platforms
- Must be legally authorized to work in country of employment without sponsorship for employment visa status.
Benefits
- Health insurance
- Retirement plans
- Paid time off
- Flexible work arrangements
- Professional development programs
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 modelslarge language modelsgenerative AIretrieval-augmented generationdeep neural networksmodel evaluation frameworksend-to-end ML pipelinessoftware engineering
Soft Skills
collaborationproblem framingcommunicationproject scope definitiontechnical approachsuccess metricsresponsible AI principlesaccuracyrobustnessexplainability