Position Overview
We are looking for a Data Scientist / AI Algorithm Engineer with strong expertise in Large Language Models (LLMs) and their applications to join our AI team. As a Data Scientist at PowerArena, you will work on projects about smart factory and smart city, and tackle a diverse range of challenges. In this role, you will design, develop, and deploy state-of-the-art LLM-based solutions for real-world industrial applications, focusing on areas like knowledge retrieval, and AI agents. You will work closely with product, engineering, and research teams to bring cutting-edge LLM and Generative AI models from prototype to production.
Key Responsibilities
• Research, design, and implement LLM and Generative AI applications for industrial solutions.
• Develop and optimize LLM application pipelines, including data preparation, prompt engineering, inference, and response post-processing.
• Design and build robust LLM-based agents, including tool-use capabilities, planning, and memory modules.
• Develop and manage Knowledge Base and Retrieval-Augmented Generation (RAG) systems for domain-specific information retrieval.
• Collaborate with deployment and software engineers to integrate models into scalable, low-latency systems.
• Collaborate with area experts to define the scoping of each project / function.
• Collect, curate, and preprocess large-scale text datasets for fine-tuning and knowledge base population.
• Benchmark and evaluate application performance; conduct ablation studies and drive improvements in accuracy, relevance, and robustness.
• Stay up to date with the latest advances in LLMs, Generative AI, and context engineering, and apply them to solve business problems.
• Share technical knowledge with team members.
Qualifications
• Master’s or Ph.D. in Computer Science, Electrical Engineering, or a related field (or equivalent practical experience).
• Proven experience in developing and deploying applications using Large Language Models (LLMs).
• Essential abilities in prompting, context engineering, and fine-tuning techniques.
• Experience in developing LLM-based agents and knowledge base/RAG systems.
• Familiarity with model efficiency techniques like LoRA (Low-Rank Adaptation) and knowledge distillation.
• Strong proficiency in programming languages such as Python and familiarity with relevant libraries (e.g., PyTorch, TensorFlow, Hugging Face Transformers).
• Excellent problem-solving skills and the ability to work independently and as part of a team.
Bonus Qualifications
• Familiarity with MLOps, model monitoring, and pipeline automation for LLMs.
• Familiarity with vision models and computer vision solutions.
• Background in smart factory, smart city, or industrial AI use cases.
• Contributions to open-source LLM or AI agent projects.
• Familiarity with Industry 4.0 applications.
What We Offer
• Flexible working environment
• Competitive salary and benefits package.
• Opportunity to work on cutting-edge projects with real-world impact.
• Collaborative and innovative work environment.
• Professional development and training opportunities.
