AI Engineer

As an AI Engineer, you will design, develop, and deploy machine learning and deep learning models across diverse data types (image, time-series, text, etc.), while also planning and organizing data analysis competitions as part of your core duties. You will collaborate with research teams, product engineers, and clients to bring cutting-edge AI technologies into real-world applications. This includes, but is not limited to: ・Designing, developing, and tuning AI models (e.g., classification, detection, 　generation, time-series prediction, optimization) ・Implementing, training, and evaluating deep learning models using Python and 　PyTorch/TensorFlow ・Performing data preprocessing, feature extraction, and evaluation metric design 　across various data types (image, numerical, NLP) ・Deploying models as APIs and implementing on cloud environments (AWS / GCP 　/ Azure) ・Planning and operating data analysis competitions, including problem definition, 　dataset preparation, and evaluation criteria design ・Managing processes from technical proof of concept (PoC) through to 　production implementation ・Validating and implementing new technologies and algorithms in collaboration 　with research teams

・Experience developing AI/ML models using Python ・Experience building and training deep learning models with PyTorch or 　TensorFlow ・Understanding of machine learning fundamentals and model evaluation ・Team development experience using Git ・Business-level English (ability to communicate in English is required)

・Medal acquisition experience on Kaggle (Master or above) or other global data 　science competition platforms ・Experience building training/inference environments on cloud platforms (AWS, 　GCP, etc.) ・Experience with inference optimization using Docker / CUDA / TensorRT ・Experience developing NLP (LLM, RAG, etc.) or image generation (Diffusion 　Models, etc.) ・Practical experience with OpenCV, NumPy, Pandas, FastAPI, Flask ・Experience reproducing and applying research papers ・Experience in planning and operating competitions or events ・Business-level Japanese or other languages

We would like someone who has experience with: ・Language: Python, Shell ・Frameworks: PyTorch, TensorFlow, FastAPI, Flask ・Tools: Docker, GitHub, AWS (EC2, S3, Lambda, SageMaker), GCP ・Libraries: OpenCV, NumPy, Pandas, Torchvision, Transformers ・Project management: GitHub, Jira ・Internal communication: Slack, Discord, Notion, Zoom