Role overview :

Design, build, and deploy AI/ML solutions supporting the JAXA project, including AI-driven telecom applications and relevant TN-NTN, SMO-RIC, and Digital Twin workstreams.

Key responsibilities :

- Design, build, deploy, and maintain AI/ML models and pipelines.

- Work with Natural Language Processing, Computer Vision, and Generative AI frameworks.

- Apply supervised, unsupervised, and reinforcement learning techniques.

- Process and analyze large datasets, including unstructured data.

- Support Retrieval-Augmented Generation (RAG) pipelines, vector databases, and LLM fine-tuning.

- Apply responsible AI practices, including bias detection and AI ethics compliance.

- Participate in Agile/Scrum development and collaborate with engineering, data science, and project teams.

- Contribute to model validation, production integration, technical documentation, and knowledge transfer.

Qualifications and preferred experience :

- Bachelor's or Master's degree in Computer Science, IT, AI/Data Science, Engineering, or a related field.

- Relevant experience developing and deploying AI/ML solutions.

- Experience with Generative AI, LLM deployment, AI platform integrations, RAG, vector databases, and AI APIs.

- Understanding of responsible AI, data governance, and enterprise security requirements.

- Telecom, TN-NTN, SMO-RIC, or Digital Twin experience is strongly preferred.

- Relevant certifications such as AWS Certified ML Specialty, Google Professional ML Engineer, or Azure AI Engineer Associate are desirable.