Principal Software Engineer designing and building LLM - powered systems for AI - driven solutions. Collaborating across teams to transform engineering problems into production - ready intelligent applications.
About the role
- Digital Software Engineer in Water Solutions at DuPont leading the delivery of high-impact digital programs and ensuring product quality and timely delivery.
Responsibilities
- Lead the delivery of high-impact digital programs from launch, ensuring products and solutions meet quality standards and are delivered on time.
- Partner with stakeholders throughout the organization to drive successful program outcomes and maintain value delivery post-launch.
- Support digital programs after launch to ensure ongoing value and continuous improvement.
- Participate in cross-functional initiatives, working closely with IT, R&D, TS&D, and a broad range of business partners to develop innovative, tailored solutions.
Requirements
- Bachelor’s Degree in Computer Science, Information Technology, Engineering, or a related technical field.
- 7+ years of professional experience in software development with a strong focus on Python.
- Proven ability to develop complex mathematical models using libraries such as NumPy, SciPy, and related scientific computing tools.
- Solid understanding of software development lifecycle, including raising and reviewing Pull Requests (PRs), code reviews, and working with Azure DevOps for CI/CD pipelines.
- Strong problem-solving skills and ability to distill complex technical challenges into actionable solutions.
- Understanding of Agile/SCRUM methodology and collaborative development practices.
- Excellent communication skills for cross-functional collaboration with engineering and product teams.
- Familiarity with water chemistry principles and ability to apply them in modeling and simulation of UF (Ultrafiltration), IX (Ion Exchange), and RO (Reverse Osmosis) technologies.
- Experience in modeling and simulation of water treatment systems and translating engineering concepts into computational models.
- Exposure to AI/ML concepts and libraries (e.g., scikit-learn, TensorFlow).
- Understanding of Python Fast API framework to engage with REST APIs.
- Understanding of SQL Alchemy to read data from Database using Object relational Model.
- Experience with data visualization tools (e.g., Matplotlib, Plotly) for presenting simulation results.
- Familiarity with cloud platforms (Azure preferred) and workflow automation.
- Knowledge of data management practices and version control systems (Git).
Benefits
- DuPont offers a comprehensive pay and benefits package.
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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