Software Engineer

Work Your Magic with us! Start your next chapter and join MilliporeSigma.

Ready to explore, break barriers, and discover more? We know you’ve got big plans – so do we! Our colleagues across the globe love innovating with science and technology to enrich people’s lives with our solutions in Healthcare, Life Science, and Electronics. Together, we dream big and are passionate about caring for our rich mix of people, customers, patients, and planet. That's why we are always looking for curious minds that see themselves imagining the unimaginable with us.

Your Role:

At MilliporeSigma, our Digital and eCommerce division is looking to transform our Digital and eCommerce technology engine. As a Data & AI Software Engineer, you will play pivotal role in driving the next generation of intelligent, high-performing eCommerce experiences for our global eCommerce platforms (e.g., sigmaaldrich.com and sigmaaldrich.cn) and build new features and components in our evolving platform, helping to embrace modern AI Technology & Tools.

As a Data & AI Engineer, you will play a critical role in our mission to innovate within the eCommerce space. You will be responsible for designing, developing, and deploying AI and machine learning models that address key business challenges and enhance our digital offerings.

The Digital and eCommerce team currently operates several B2B websites and direct digital sales channels via a globally deployed cloud-based platform that are a growth engine for MilliporeSigma’s life science business. We provide a comprehensive catalog of all products, enabling our customers to find products and purchase products as well as get detailed scientific information on those products.

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• Hybrid role in St. Louis

• Design and implement scalable AI/ML solutions using frameworks such as TensorFlow, PyTorch, and Scikit-learn.

• Collaborate with data scientists, software engineers, and domain experts to integrate AI solutions into existing systems and workflows.

• Analyze large datasets using tools like Pandas, NumPy, and SQL to extract actionable insights and inform decision-making.