Key Responsibilities:
- AI-based software development: Assist in developing and implementing AI applications focusing on Generative AI.
- Deployment and MLOps: Help deploy monitor and optimize models; contribute to CI/CD pipelines.
- Collaboration: Work with cross-functional teams on project requirements.
- Problem Solving: Propose innovative solutions for model efficiency.
Qualifications :
- Pursuing a degree in Computer Science Engineering Data Science or related field.
- Can join full time in 6 months
- Understanding of AI ML deep learning and Generative AI.
- Proficient in Python and AI/ML LLM Framework
- Basic knowledge of MLOps principles.
- Strong problem-solving and communication skills.
Preferred Qualifications:
- Experience with cloud platforms
- Familiarity with Docker Kubernetes and Git.
- Understanding of data engineering and pipelines.
Additional Information :
- Monthly Internship Allowance plus Meal and Parking support.
- 1 paid leave day 1 sick leave day for each internship month.
- 1 birthday leave day if your birthday falls during the internship period.
- Accident insurance provided throughout the internship.
- Opportunity to observe and engage in international projects and innovation.
- Access to our diverse training programs which surely help strengthen both your personal and professionalism.
- Participation in various company activities such as football yoga badminton and team building.
Remote Work :
No
Employment Type :
Full-time
Key Responsibilities:AI-based software development: Assist in developing and implementing AI applications focusing on Generative AI.Deployment and MLOps: Help deploy monitor and optimize models; contribute to CI/CD pipelines.Collaboration: Work with cross-functional teams on project requirements.Pro...
Key Responsibilities:
- AI-based software development: Assist in developing and implementing AI applications focusing on Generative AI.
- Deployment and MLOps: Help deploy monitor and optimize models; contribute to CI/CD pipelines.
- Collaboration: Work with cross-functional teams on project requirements.
- Problem Solving: Propose innovative solutions for model efficiency.
Qualifications :
- Pursuing a degree in Computer Science Engineering Data Science or related field.
- Can join full time in 6 months
- Understanding of AI ML deep learning and Generative AI.
- Proficient in Python and AI/ML LLM Framework
- Basic knowledge of MLOps principles.
- Strong problem-solving and communication skills.
Preferred Qualifications:
- Experience with cloud platforms
- Familiarity with Docker Kubernetes and Git.
- Understanding of data engineering and pipelines.
Additional Information :
- Monthly Internship Allowance plus Meal and Parking support.
- 1 paid leave day 1 sick leave day for each internship month.
- 1 birthday leave day if your birthday falls during the internship period.
- Accident insurance provided throughout the internship.
- Opportunity to observe and engage in international projects and innovation.
- Access to our diverse training programs which surely help strengthen both your personal and professionalism.
- Participation in various company activities such as football yoga badminton and team building.
Remote Work :
No
Employment Type :
Full-time
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