At Fujitsu, our purpose is to make the world more sustainable by building trust in society through innovation. Founded in Japan in 1935, Fujitsu has been a pioneer in technology and innovation for decades. Today, as a world-leading digital transformation partner, we are committed to transforming business and society in the digital age.

With approximately 130,000 employees across over 50 countries, Fujitsu offers a broad range of products, services, and solutions. We collaborate with our customers to co-create solutions that drive enterprise-wide digitalization while actively working to address social issues and contribute to the United Nations Sustainable Development Goals (SDGs).

Primary Skills
Generative AI & Large Language Model (LLM)
Design, develop solutions, and fine-tune cutting-edge generative AI models, including open-source LLMs, for real-world, scalable applications.
Natural Language Processing (NLP)
Apply NLP techniques for tasks like text generation, summarization, translation, entity recognition, and sentiment analysis using frameworks like Hugging Face, spaCy, and OpenAI GPT.
Full Stack Development
Design and implement scalable end-to-end applications integrating AI models using modern front-end (React, Angular, etc.) and back-end (FastAPI, Django, Node.js) technologies.
Python Programming for AI & Web Applications
Leverage Python for both AI algorithm development and backend services, ensuring seamless integration between machine learning models and application logic.
Machine Learning & Deep Learning
Apply supervised, unsupervised, and reinforcement learning techniques using libraries such as Scikit-learn, TensorFlow, and PyTorch.
Model Fine-Tuning & Optimization
Customize pre-trained models with domain-specific data, improving accuracy and efficiency in inference workflows.
MLOps & Production-Ready AI Deployment
Build and manage robust MLOps pipelines including Docker, Kubernetes, and CI/CD for continuous deployment, monitoring, and model management.
 
Secondary Skills
Conversational AI & Chatbot Frameworks
Develop AI-powered virtual assistants using LangChain, AutoGen, or similar libraries to meet enterprise conversational requirements.
Cloud AI Platform Integration
Deploy and scale applications using cloud platforms such as Azure, or AWS for secure, high-performance model hosting.
Data Engineering & Preprocessing
Collaborate with data engineers to process and manage large datasets with tools like Apache Spark, Pandas, and SQL for training and evaluation.
API Development & Integration
Build RESTful APIs to expose AI capabilities and enable seamless integration with business systems and UI components.
AI Research, Innovation & Open-Source Contribution
Stay updated with the latest trends in generative AI and contribute to open-source AI projects to stay ahead in innovation and design.
AI Ethics & Bias Mitigation
Awareness of ethical AI design and practices to ensure responsible AI deployments and fair model behavior in production environments.