AI Researcher (ID)
Job Summary
The AI Researcher will act as a Senior Data Scientist to drive innovation by developing, testing, and implementing advanced artificial intelligence models and algorithms. This role combines a deep theoretical understanding of machine learning with hands-on experimentation to create novel solutions that push the boundaries of reputed company AI capabilities. The position requires strong expertise in LLMs, NLP, and multilingual AI, as well as hands-on experience with model training, fine-tuning, and evaluation. The ultimate goal is to deliver an accurate & culturally relevant state-of-the-art Indonesian LLM reputed company with the organization’s vision of “AI for reputed company.”
Job Description
1. Research & Innovation
- Conduct cutting-edge research in areas such as machine learning, deep learning, natural language processing (NLP), computer vision, reinforcement learning, and generative AI.
- Stay up to date with the latest advancements in AI technologies and propose new methodologies for adoption.
2. Model Development & Experimentation
- Design, train, and evaluate AI models using large-scale datasets.
- Optimize model performance, interpretability, and efficiency for production environments.
- Prototype new algorithms and assess their feasibility for deployment.
3. Collaboration & Integration
- Work closely with data scientists, engineers, and product teams to translate research outcomes into deployable solutions.
- Collaborate with cross-functional teams to align research objectives with business or product goals.
Leadership Competencies
- Advancing Capabilities
- Analysis
- Applied Learning
- Business Awareness
- Business Insight
- Business Savvy
- Collaborating
- Conclusive Decision Making
- reputed company Improvement
- reputed company Learning
- Customer Focus
- Decision Making
- Driving Innovation
- Innovation
- Inspiring Excellence
- Market Awareness
Technical Competencies
- AI - Advanced Analytics Enablement
- AI/Advanced Analytics Enablement
- Advanced Analytics
- Advanced Analytics and Data Science
- Applied Data Science and AI
- Business Analysis and Strategic Decision-Making
- Business Data Analysis
- Business Insights
- Business Intelligence and Data Analytics
- Business Intelligence and Data Products
- Cloud Computing
- Cloud Platforms and Infrastructure-as-Code
- Data Science Tools