AI Researcher

Indosat; Indonesia; On-site; IDR 100.000.000 - 200.000.000; Full time

Job summary

A leading technology firm is seeking a Senior Data Scientist to drive innovation in artificial intelligence by developing, testing, and implementing advanced models. The role requires expertise in LLMs and NLP, alongside hands-on experience with model training for creating culturally relevant solutions in AI. Candidates will conduct research, design AI models, and collaborate with cross-functional teams to ensure successful project delivery. Join us to shape the future of AI in Indonesia.

Qualifications

• Strong theoretical understanding of machine learning and hands-on experimentation.
• Experience in developing and testing AI models and algorithms.
• Ability to deliver culturally relevant AI solutions.

Responsibilities

• Conduct cutting-edge research in AI technologies.
• Design, train, and evaluate AI models using large-scale datasets.
• Collaborate with teams to translate research into deployable solutions.

Skills

Expertise in LLMs

Knowledge of NLP

Hands-on experience with model training

Deep understanding of machine learning

Tools

Data Science Tools

Cloud Computing

Job description

Department: Group AI Product Implementation

Description:

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 current 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 aligned with the organization’s vision of “AI for ALL.”

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

• AdvancingCapabilities
• Analysis
• Applied Learning
• Business Awareness
• Business Insight
• Business Savvy
• Collaborating
• Conclusive Decision Making
• Continuous Improvement
• Continuous 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