AI Researcher (ID)

๐ŸŒ Remote, USA ๐Ÿ’น Full-time ๐Ÿ• Posted Recently

Job 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 organizationโ€™s vision of โ€œAI for ALL.โ€

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
  • 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

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