Associate AI/ML Engineer

About this role

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Skills you'll use

What you'll do

• Role: Associate AI/ML Engineer
• Team: Global Supply Chain Digitalization — AI & Automation Team
• 3M Health Care is now Solventum
• At Solventum, we enable better, smarter, safer healthcare to improve lives. As a new company with a long legacy of creating breakthrough solutions for our customers’ toughest challenges, we pioneer game-changing innovations at the intersection of health, material and data science that change patients' lives for the better while enabling healthcare professionals to perform at their best. Because people, and their wellbeing, are at the heart of every scientific advancement we pursue.
• We partner closely with the brightest minds in healthcare to ensure that every solution we create melds the latest technology with compassion and empathy. Because at Solventum, we never stop solving for you.
• The Impact You’ll Make in this Role
• As an Associate AI/ML Engineer — Supply Chain AI & Intelligent Automation, you will support the design, development, and deployment of Artificial Intelligence (AI), Machine Learning (ML), and Generative AI solutions that improve Supply Chain across functions. You will help build and maintain scalable, production-ready AI applications that enable intelligent decision-making, automation, and operational efficiency.
• In this role, you will assist in developing Machine Learning models, AI Agents, and cloud-native AI solutions using AWS and Azure to help solve supply chain challenges, working under the guidance of senior engineers and data scientists.
• You will collaborate with Supply Chain stakeholders, Senior/Lead Data Scientists, Cloud Architects, and Analytics Teams to help translate business requirements into reliable, scalable AI solutions that deliver measurable business value, while continuing to build your technical expertise.

Who can apply

• Minimum Qualifications:
• Bachelor’s degree in computer science, Software Engineering, AI, or related field and 2 to 4 years of professional experience in Machine Learning, Artificial Intelligence, Data Science, or Ai Engineering or a master’s degree with relevant industry experience and 2 to 3 years of experience with internship experience.
• Hands-on 3+ years of experience with Python and foundational knowledge of designing, developing, and supporting Machine Learning and AI solutions, including exposure to predictive modelling, forecasting, feature engineering, and model evaluation, ideally using cloud platforms such as Azure, Databricks, or AWS.
• Exposure to or coursework/project experience with Generative AI applications and Agentic AI workflows using frameworks such as Lang Graph, Lang Chain, Auto Gen, Crew AI, or similar technologies.
• Foundational understanding of Large Language Models (LLMs), Prompt Engineering, RAG, and AI evaluation techniques, with a willingness to deepen expertise in responsible AI practices.
• Basic understanding of system design patterns, microservices architecture, APIs, containerization (Docker), Kubernetes, and infrastructure automation.
• Familiarity with, or eagerness to learn, AI observability and evaluation tools such as Azure AI Foundry, Azure Monitor, Azure ML Monitoring, AWS CloudWatch, MLflow, Lang Smith, Prometheus, Grafana, or Open Telemetry.
• Exposure to enterprise data platforms, data pipelines, SQL, and distributed data processing frameworks to support AI/ML solutions.

About Solventum

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