AI / ML Developer

Fusion Consulting AG; Lisboa; Hybrid; EUR 65,000 - 100,000; Full time

Benefits offered by this job

Competitive package

People-focused culture

Global organization

Learning budget (€1,500)

Job summary

Fusion Consulting AG is seeking an experienced AI/ML Developer to design, build, and implement intelligent solutions for advanced analytics, predictive modeling, and process automation. You will implement scalable models and data-driven applications while integrating ML capabilities with enterprise platforms and AFP-related systems.

You will work with data engineers, solution architects, and business stakeholders to ensure reliable performance, alignment with business needs, and adherence to

Qualifications

• Hands-on AI/ML development including model design, training, deployment, and optimization.
• Experience with data pipelines, feature engineering, and working with structured and unstructured data.
• Knowledge of REST APIs and system integration with enterprise apps.

Responsibilities

• Design, develop, and deploy AI/ML models for analytics and forecasting.
• Develop and optimize ML algorithms (regression, classification, clustering, time-series).
• Build data preprocessing, feature engineering, training, and evaluation pipelines.
• Integrate AI/ML with AFP-related applications and enterprise platforms.
• Create APIs and integration components for seamless model communication.
• Collaborate with data engineers to ensure data availability and quality.
• Monitor model performance and scale in production.
• Support testing, troubleshooting, deployment, and continuous improvement.

Skills

AI/ML development

Python programming

REST APIs knowledge

Analytical problem solving

Communication skills

Tools

TensorFlow

PyTorch

Scikit-learn

Azure Machine Learning

AWS SageMaker

Google Vertex AI

SAP environments

CI/CD / MLOps

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.

Additional Information

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 work from your preferred global location (under client’s permission)
• Annual vacations:of up to 20 days (depending on seniority)
• Time Off:Take the time you need to recharge and maintain a healthy work-life balance, with flexibility beyond standard holiday allowances.
• Connect as a Team:We use our team’s integration budget to meet, collaborate, and bond
• Celebrate Your Birthday:Receive a special gift from Fusion on your birthday
• Anniversary bonus program:Receive substantial bonuses on special work anniversaries (5, 10, 15 years)
• Bonus programs:10% annual performance bonus, based on company KPIs.
• Refer Talent reward program (up to Director) :Offers bonuses if your referral is hired by Fusion
• Truly Global:Join a truly global organization where mutual support, teamwork, and diversity drive our collective success.

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-solving, and communication skills, with the ability to collaborate across technical and business teams.

Empowering authenticity, encouraging collaboration, inspiring growth.