Company Description
- Empowering Global Talent in Life Sciences
- Transformation Fusion Consulting is a globally leading Business and IT boutique consultancy specialized in the Life Sciences industry, partnering with leading companies in pharma, healthcare, and animal health.
- With over 450 employees and 25 offices worldwide, our mission is to revolutionize our clients' business transformation challenges and set new industry standards through innovative solutions.
- Focused on S4HANA, Data & Cloud, and innovative technologies, Fusion Consulting brings unparalleled expertise and commitment to excellence to every project we undertake.
- Grounded in our commitment to fast and intelligent decision-making, our client-first and open-hearted approach defines our ethos.
- With unwavering support and an entrepreneurial spirit, our global teamwork transcends boundaries and turns shared visions into reality.
- This role will be based in Tokyo, Japan remotely and be able to travel to Yamagata upon the client’s requests.
- We are looking for a potential candidate who can lead the workstream at the client's side as well as large projects in the near future.
- At Fusion, we unite entrepreneurial minds from around the globe to develop and implement game-changing solutions that build lasting relationships with our clients.
- As we are still in the exciting early stages of building our presence in Japan, joining Fusion means you won’t just be another consultant - you will be an initiating member helping shape our Japan growth story locally.
- You will have the opportunity to work on projects with truly global clients, where diverse perspectives and cross-border collaboration are the norm.
- You will be acting as the bridge between the global English-speaking business and potentially Japanese speaking local operations.
- With this comes a high level of accountability and ownership, empowering you to directly influence outcomes and see the tangible impact of your work.
Job Description
- We are looking for an experienced AI / Machine Learning Developer to design, develop, and implement intelligent solutions supporting advanced analytics, predictive modeling, and business process automation.
- The role focuses on building scalable AI/ML models, developing data-driven applications, and integrating machine learning capabilities with enterprise platforms, including AFP-related systems and workflows.
- Working closely with data engineers, solution architects, and business stakeholders, the developer ensures reliable model performance, seamless integration, and alignment with business requirements and technical standards.
Key Responsibilities
- Design, develop, and deploy AI and Machine Learning models to support predictive analytics, forecasting, and business decision-making.
- Develop and optimize machine learning algorithms, including regression, classification, clustering, and time-series forecasting.
- Build and maintain data preprocessing, feature engineering, model training, and evaluation pipelines.
- Implement AI/ML integrations with AFP-related applications, enterprise data platforms, and business planning systems.
- Develop APIs and integration components to enable seamless communication between AI/ML models and existing applications.
- Collaborate with data engineers and technical teams to ensure data availability, quality, and efficient processing.
- Monitor and optimize model accuracy, performance, scalability, and reliability in production environments.
- Support testing, troubleshooting, deployment, and continuous improvement of AI/ML solutions.
- Translate business requirements into technical AI/ML solutions while maintaining development standards and documentation.
Qualifications
- Strong hands-on experience in AI/ML development, including model design, training, deployment, and optimization.
- Proficiency in Python and machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn.
- Solid understanding of machine learning algorithms, statistical modeling, predictive analytics, and forecasting techniques.
- Experience developing data pipelines, performing feature engineering, and working with structured and unstructured datasets.
- Knowledge of REST APIs, system integration, and connecting AI/ML solutions with enterprise applications.
- Experience with cloud-based AI/ML platforms such as Azure Machine Learning, AWS SageMaker, or Google Vertex AI.
- Understanding of MLOps concepts, including model versioning, monitoring, automated deployment, and CI/CD pipelines.
- Familiarity with enterprise data platforms, SAP environments, or business planning and analytics solutions would be advantageous.
- Strong analytical, problem