Staff Engineer Data Analytics AI Engineering
Staff Engineer Data Analytics AI Engineering
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Salary Not Disclosed
1 Vacancy
Job Description
ESSENTIAL DUTIES AND RESPONSIBILITIES:
- Develop and Implement AIPowered Applications
- Develop and implement LLMdriven applications tailored to business needs including chatbots summarization tools document analysis.
- Lead the application of LLMs in creating solutions that improve efficiency and user experience from prototype to production deployment.
- Data Processing and Analysis:
- Implement algorithms to process and analyze large datasets to identify trends anomalies and efficiency opportunities.
- Develop machine learning models to improve product yield and optimize manufacturing processes.
- Collaboration and Continuous Improvement:
- Work closely with manufacturing engineers to understand their data needs and provide technical solutions.
- Continuously explore new technologies and methodologies to improve existing systems and processes.
- Data Visualization:
- Visualize key manufacturing metrics and insights using spotfire
- Research and Innovation
- Stay updated with the latest advancements in LLMs incorporating new techniques to enhance existing models and applications.
- Lead R&D initiatives exploring new ways to apply LLMs to address unique challenges and drive competitive advantage.
- Crossfunctional Team Work:
- Collaborate with IT and AI experts to integrate software solutions into the broader company ecosystem.
- Participate in crossfunctional teams to support broader organizational goals.
Qualifications :
Required:
- Bachelors/masters degree in computer science/Engineering data science or related field
- 68 years of experience in software development
- Experience in programming language (python R) and database (SQL) to perform data mining and analysis.
- Knowledge in machine learning techniques (LLM neural network machine learning)
- Knowledge of statistical techniques in data science (regression properties of distribution)
- Strong analytic skills and problemsolving skills.
Preferred:
- Bachelors/Masters degree in Computer Science/Engineering data science or related field
- 25 years of experience in software development
- Experience in programming language (python R) and database (SQL) to perform data mining and analysis.
- Knowledge of statistical techniques in data science (regression properties of distribution)
- Knowledge in machine learning techniques (neural network machine learning)
Skills:
- Python
- Tibco SPOTFIRE
- Advance Microsoft Excel
- Familiar with Hugging face
- data science background
- Passion in research and path finding.
- Excellent communication and collaboration skills
Additional Information :
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 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.
NOTICE TO CANDIDATES: Western Digital has received reports of scams where a payment is requested on Western Digitals behalf as a condition for receiving an offer of employment. Please be aware that Western Digital and its subsidiaries will never request payment as a condition for applying for a position or receiving an offer of employment. Should you encounter any such requests please report it immediately to Western Digitals Ethics Helpline or email
Remote Work :
No
Employment Type :
Fulltime
Employment Type
Full-time
