Note: The job is a remote job and is open to candidates in USA. The Duracell Company is the world’s leading manufacturer of high-performance alkaline batteries. The Forward Deployed Engineer works closely with business teams to develop, deploy, and support AI-powered solutions, focusing on turning business challenges into practical solutions that leverage machine learning and modern AI capabilities.
Responsibilities
- Embed with business teams to understand their problems firsthand and translate them into viable AI and analytics solutions, including generative AI capabilities
- Work with the Infrastructure team to assist in publishing AI-created artifacts such as apps, dashboards, and lightweight web applications to a shared location
- Manage those applications on Azure using resource groups and app hosting services and handling application-level configuration, access, and updates
- Design and support end-to-end AI-powered solutions on data from business applications and Fabric/Snowflake data sources
- Build intelligent solutions using large language models (Claude, etc.), Python, and SQL. Work side by side with users to drive adoption, troubleshoot issues, and gather requirements for the next iteration
- Document what you build and share what works so other teams can reuse it
- Keep up to date with emerging AI and advanced analytics trends, and bring practical ideas back to the business
Skills
- Hands-on experience building with Gen AI large language models (LLMs) including Claude, Gemini, and similar platforms
- Working knowledge of SQL, Python, and Gen AI application artifacts (HTML, React, etc)
- Hands-on experience deploying and hosting web applications or static sites (for example, HTML or React apps) so others can access them
- Working familiarity with Microsoft Azure at the application level, such as resource groups and app hosting services (App Service, Static Web Apps, or Functions); deep infrastructure or DevOps experience is not required
- Experience with Microsoft Fabric or Snowflake platforms (desirable)
- A strong bias for action; able to move fast and iterate rather than wait for perfect requirements
- Ability to perform root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities
- Solid communication and relationship skills; able to explain technical work to non-technical people and collaborate across teams
- Bachelor's degree (or equivalent) with a concentration in Computer Science, Machine Learning, Artificial Intelligence, Data Science, or a related technical discipline
- 2+ years of hands-on experience building and deploying software, data, or AI/ML solutions, including at least 2 years working directly with business users or customers
- Consumer packaged goods (CPG), retail, or manufacturing industry experience is preferred
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