Summary:
The Data Science team is a leading an internal SMART factory implementation. The selected candidate will be a part of a dynamic team working closely with factory operations, engineering and platform development team to deliver factory of the future. This is a unique opportunity to be part of Western Digital Industry 4.0 journey and change the way technology is used.
Responsibilities
- Work with data scientists, data engineers, software engineers, process & product engineers, design engineers, etc collaboratively to develop new data science solutions that improve productivity and operations metrics.
- Researching and developing scalable Generative-AI solutions using AWS Bedrock platform, Large Language Models (LLM), MCP Server, n8n and prompt engineering for factory/engineering usage
- Deploy models and solutions using DevOps/MLOps tools such as Docker, Kubernetes, MLflow, AWS & Edge to ensure scalability and reproducibility.
- Collaborate in cross-functional teams to integrate AI/ML algorithms, image analytics and software into the Analytics systems (including chatbot/AR/Computer Vision) as well as develop prototypes.
- Design, develop, deploy and maintain Analytics Systems/solutions (Data engineering, Data Science, Chatbot, AI, Generative-AI, MCP, n8n, AR, Computer vision and Visualization/Web App) independently and delivered on time.
- Meeting users, gathering user requirements and communicating requirements to a technical team member for technical solution design, feasibility study & planning.
- Translate User Request into Analytics Solution from a system perspective. Prepare and deliver presentations with data visualizations and business conclusions.
- Constantly learn new front tier technology and creatively apply/deliver solutions to manufacturing operations to meet KPIs.
