Intern - AI Software Developer (Studying Bachelor Degree) at Western Digital

Phra Nakhon Si Ayutthaya City Municipality, , Thailand -

Full Time

Start Date

Immediate

Expiry Date

26 Sep, 26

Salary

0.0

Posted On

28 Jun, 26

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, TensorFlow, PyTorch, Scikit-learn, Pandas, Machine Learning, Generative AI, Pattern Recognition, Data Analysis, Workflow Automation, n8n, API Integration

Industry

Computer Hardware Manufacturing

Description

Company Description WD is building the infrastructure behind the AI-driven data economy. As AI scales, so does data. Every interaction, every model, every system generates data that must be stored, managed, and made accessible over time. That’s where we come in. We combine deep engineering expertise with global-scale manufacturing to deliver the storage systems that make AI possible, powering hyperscale data centers, cloud platforms, and enterprise infrastructure worldwide. This isn’t theoretical work. It’s real systems, at real scale, people solving some of the hardest challenges in technology today. We’re looking for people who want to build, solve, and operate at that level. Join us and let’s shape the future of data. Job Description ESSENTIAL DUTIES AND RESPONSIBILITIES: Assist in designing and developing AI models - focus on pattern recognition and GenAI feature enhancement. Collaborate with data scientists, engineers and IT to integrate AI technologies into our systems. Conduct data analysis and ensure the quality of data used in machine learning models. Participate in code reviews and maintain standard coding practices. Help in researching new AI trends and techniques that could improve our current systems. Qualifications REQUIRED: Currently pursuing a Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, or a related field Basic understanding of machine learning algorithms and principles Candidate is expected to work on site Basic familiarity with workflow automation / integration platforms PREFERRED: A keen interest in artificial intelligence. Hands-on exposure to low-code workflow automation tools (eg.n8n) for connecting apps/APIs and building automated workflows Excellent problem-solving skills and ability to work in a team environment. Strong communication skills - Proficient in written and spoken English. SKILLS: Strong programming skills in Python. Familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch) and libraries (e.g., Scikit-learn, Pandas). Additional Information #LI-BI1 WD 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. WD 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 [email protected] 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: Please be aware that WD 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 WD Ethics Helpline or email [email protected]. Job Type (exemption status): Exempt position - Please see related compensation & benefits details below Business Function: Engineering Support Work Location: BangPa-In Building 3--LOC_WDT_TH1413

Responsibilities

Assist in designing and developing AI models with a focus on pattern recognition and Generative AI enhancements. Collaborate with cross-functional teams to integrate AI technologies and conduct data analysis to ensure model quality.