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  • Posted 2 months ago
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Job Description

Job Description

  1. Design, and deploy machine learning models, including supervised, unsupervised, and reinforcement learning to improve production efficiency.
  2. Implement, fine-tune, and maintain Large Language Models (LLMs), Generative AI models, and other deep learning architectures.
  3. Explore and evaluate new AI tools, frameworks, and techniques to enhance solution effectiveness.
  4. Integrate AI models into production systems & Optimize model performance.
  5. Troubleshoot issues related to data, models, or system integration.
  6. Provide technical support to internal teams using AI tools or solutions.

Qualifications

  1. Bachelor's degree or higher in Computer Science, Data Science, AI Engineering, or a related field.
  2. Advanced writing and communicate in English.
  3. Experience with generative AI tools, 2-5 years of experience deploying AI/ML models into production environments.
  4. Solid understanding of data structures, algorithms, and software engineering principles.
  5. Hands-on experience in building, training, and evaluating AI models.
  6. Strong analytical and problem‑solving abilities.
  7. Excellent communication skills for explaining complex technical ideas.

Additional Information

Your advantages
You get a behind the scenes look into the workings of a global player - at your request outside Thailand. You are directly involved with the team and can gather practical, degree-related experience.

Working conditions
. Monday to Friday, 8:00 am. - 5:30 pm.
. Monthly allowance and housing allowance
. Free lunch & transportation
. Vacation eligibility: 1 day / month

Make it happen
Send us your application by using the I'm interested button!

Please include the following details with your application.
. Expected starting and ending dates of internship program
. Expected longest internship period e.g. 4 months or 5 months
. Deadline to get confirmation from Bosch

.Due to high volume of candidates, only shortlisted candidates will be contacted.

Job ID: 146076379

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