Carex is looking to advance innovation through applied AI, generative modeling, and machine learning within a consumer-focused landscape to guide decision-making across product development, marketing, and supply chain operations.
Requirements
- Proficiency in Python and familiarity with libraries such as TensorFlow, PyTorch, Hugging Face, and Transformers
- Solid knowledge of LLMs, generative AI tools, and modern deployment practices
- Understanding of MLOps, ModelOps, and scalable infrastructure
- Experience working with cloud platforms, containerization, and big data ecosystems
- Familiarity with visualization tools like Power BI, Tableau, or Looker
- Exposure to customer segmentation, personalization, and recommendation systems
- Understanding of enterprise data platforms and AI governance practices
Responsibilities
- Design and implement ML algorithms and generative AI models (LLMs, NLP, multi-modal AI) tailored to consumer behavior and business operations
- Architect scalable AI solutions to support product innovation, demand forecasting, and marketing effectiveness
- Leverage structured and unstructured data sources (POS, social media, CRM, surveys) to extract meaningful market and consumer insights
- Build predictive models to support decisions across the product lifecycle and supply chain planning
- Rapidly prototype AI solutions and transition high-performing models into production environments
- Monitor AI model performance and business KPIs, applying statistical rigor to measure success and impact
- Contribute to the development of AI governance, risk, and compliance (GRC) frameworks
Other
- Bachelor's degree in Computer Science, Data Science, Engineering, or a related field
- 3–5 years of experience developing and deploying AI/ML models, ideally within CPG or retail environments
- Strong communication skills and the ability to present complex AI concepts to non-technical stakeholders
- Must be authorized to work in the US (both now and in the future)
- W2 only, no C2C
