Đang xử lý
Vị trí
Hạn nộp
31/03/2025
Số lượng cần tuyển
1 người
Giới tính
Không yêu cầu
Kinh nghiệm
Bằng cấp
Đại học
Nơi làm việc
Lĩnh vực
Job description
Are you passionate about AI and eager to work on cutting-edge technology
Do you know how to develop AI models and deploy them to production environments
Were looking for a Data Scientist to join our team and help drive innovation in AI-driven recruitment service.
If you're experienced with large language models (LLMs),
AI systems, and cloud service, we want to hear from you!
* Design, develop, and deploy AI and machine learning models with a focus on large language models (LLMs).
* Optimize AI models and systems for performance, scalability, and reliability.
* Build and refine recommendation engines and generative AI systems.
* Conduct LLM assessment, including systematic validation, benchmarking of LLMs and prompt injections.
* Collaborate with cross-functional teams to bring AI solutions to production.
* Implement ML-assisted data processing, labeling, and distillation techniques.
* Ensure AI systems comply with security standards and regulatory requirements.
* Stay current with the latest AI trends and technologies to apply innovative solutions to business problems.
* Provide guidance and mentorship to team members on AI best practices.
* Maintain comprehensive documentation of AI architecture, design decisions, and workflows.
Requirement:
LanguageGOOD English OR Japanese
Must
* 2+ years of hands-on experience developing AI and data products.
* Strong experience with Large Language Models (LLMs) and NLP frameworks/libraries (e.g., Gensim, SpaCy).
* Proficiency with the modern data science stack, including Python, NumPy, Pandas, Scikit-Learn, and Jupyter/Colab notebooks.
* Experience taking AI ideas to production and familiarity with cloud platforms
* Knowledge of Deep Learning frameworks like PyTorch, TensorFlow, and Keras.
* Experience in machine learning software stacks involving deep neural networks, optimization, simulation, and ETL processes.
* Hands-on experience with generative AI, prompting techniques, vector databases, embeddings, fine-tuning, and agentic systems.
* Strong analytical and problem-solving skills with attention to detail.
* Experience with SQL and NoSQL databases, data warehouses, and RESTful APIs.
Good to have:
* Experience with LLM safety testing and developing defense mechanisms against vulnerabilities (e.g., prompt injections).
* Familiarity with fairness assessments in AI systems.
* Experience with LLM guardrails and safety tools like NeMo, LLM-Guard.
* Experience with building NLP and NLU models using state-of-the-art algorithms (BERT, Transformer, etc.).
Working time: Mon-Fri8:00-17:00, flex time