AI Research Scientist

Kasankaf; Indonesia; Remote; IDR 200.000.000 - 500.000.000; Vollzeit

Zusammenfassung

Kasankaf is seeking a talented machine learning researcher to explore and prototype AI solutions for real business problems in Indonesia. You will research, benchmark, and evaluate models, from LLM-powered assistants to predictive systems, and help move promising ideas toward production.

You will collaborate with engineering, write clear reports, and share findings with the team. The role requires MSc/PhD (or equivalent) and hands-on ML/NLP experience, strong Python and PyTorch skills, and the

Qualifikationen

• MSc or PhD in Computer Science, Machine Learning or a related field, or equivalent experience.
• 1+ year of hands-on experience in machine learning or NLP.
• Strong Python skills and experience with PyTorch or similar frameworks.
• Practical experience building applications on large language models.
• Solid understanding of evaluation, data quality and model limitations.
• Ability to work independently and communicate results clearly.

Aufgaben

• Research and prototype AI solutions for client use cases.
• Design evaluation methods and benchmark models for accuracy, cost and latency.
• Build retrieval-augmented generation (RAG) and agent-based systems.
• Fine-tune and adapt models on domain-specific data when needed.
• Work with engineering to move prototypes into reliable production services.
• Write clear technical reports and share findings with the team.

Kenntnisse

Python

ML/NLP

LLM applications

Evaluation

Communication

Ausbildung

MSc/PhD in CS/ML or related field

Tools

PyTorch

Vector databases

MLOps tooling

Jobbeschreibung

Explore and apply machine learning to real business problems. You will research, prototype and evaluate AI solutions, from LLM-powered assistants to predictive models, and help turn the most promising ones into production systems.

01

Responsibilities

• Research and prototype AI solutions for client use cases
• Design evaluation methods and benchmark models for accuracy, cost and latency
• Build retrieval-augmented generation (RAG) and agent-based systems
• Fine-tune and adapt models on domain-specific data when needed
• Work with engineering to move prototypes into reliable production services
• Write clear technical reports and share findings with the team

02

Requirements

• MSc or PhD in Computer Science, Machine Learning or a related field, or equivalent experience
• 1+ year of hands-on experience in machine learning or NLP
• Strong Python skills and experience with PyTorch or similar frameworks
• Practical experience building applications on large language models
• Solid understanding of evaluation, data quality and model limitations
• Ability to work independently and communicate results clearly

03

Nice to Have

• Published research or open-source ML projects
• Experience with vector databases and MLOps tooling