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A leading technology firm is seeking a Data Scientist to develop and implement Generative-AI solutions to enhance productivity and operational metrics. The ideal candidate will possess a strong understanding of AI/ML technologies, demonstrate problem-solving abilities, and be capable of working in a collaborative environment. Responsibilities include leveraging various tools and frameworks for scalable solutions and engaging with cross-functional teams to ensure successful outcomes. A background in Computer Science or a related field is preferred, alongside demonstrated experience in Generative-AI and chatbot technologies.
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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) 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, 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.
Qualification
Masters or Bachelor Degree in Computer science, data science, computer engineering, information technology, or relevant work experience and education background.
We will also consider applicants with the equivalent combination of education, technical expertise, training, or work experience.
Preferably minimum 1-2 years of working experience in related field (Generative-AI & Chatbot).
Skills
Required: Python, LLM, Prompt Engineering, Chatbot, Generative -AI, Augmented Reality, Computer Vision
Added Advantage: Agentic AI and Multi-Agent architecture.
Practical experience in application of ML and Deep Learning algorithms.
Ability to learn quickly and become productive on new technologies, APIs, development languages and frameworks.
Experience in data mining, data wrangling, and handling JSON, CSV files.
Hands on experience with Docker, Kubernetes, Edge computing and AWS.. etc
Experience with data visualization methods (Spotfire, PowerBI, Grafana)
The ability to problem solves and provide complex solutions with minimal supervision
Knowledge of Agile development, SCRUM and Application Lifecycle Management
Excellent communications and presentation skills, with the ability to synthesize, simplify and explain complex problems to different types of audience, including executives. A great team player.
Self-motivated, strong ownership and ability to work independently with minimal supervision
Western Digital thrives on the power and potential of diversity. As a global company, we believe the most effective way to embrace the diversity of our customers and communities is to mirror it from within. We believe the fusion of various perspectives results in the best outcomes for our employees, our company, our customers, and the world around us. We are committed to an inclusive environment where every individual can thrive through a sense of belonging, respect and contribution.
Western Digital is committed to offering opportunities to applicants with disabilities and ensuring all candidates can successfully navigate our careers website and our hiring process. Please contact us at [emailprotected] to advise us of your accommodation request. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.
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