AI / ML Developer

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. • 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-solving, and communication skills, with the ability to collaborate across technical and business teams. Offered benefits • Great package:  We provide a competitive salary and benefits package, along with an outstanding work environment that fosters long-term career development opportunities. • People Focus:  Unite with the best global talent in life sciences, empowered to grow and collaborate in a vibrant environment. • Truly Global:  Join a truly global organization where mutual support, teamwork, and diversity drive our collective success. • Grow Your Skills:  Join regular workshops, academies and trainings - inhouse workshops und training (optional) • Invest in Your Learning:  Access CHF 1,500 (approx. 280k JPY) annually for professional development Corporate culture and work life balance • Flat hierarchies:  Speak your mind and grow with close mentoring by senior leaders • Remote workstyle:  Work from anywhere in Japan (if client project allows) • Working location:  Temp office in Shinbashi/Client or Project site • Work flex:  Enjoy 25 days of flexibility to wo