Everience is an international consulting group delivering AI-augmented digital services and placing people at the heart of the AI revolution.

With a presence in Europe, Africa, Asia and America, Everience offers its 4,000-strong workforce the most demanding and stimulating environment in which to transform and develop their skills, learning about new AI-based roles and building their future employability.

Through its Symbiotic Academy the group offers a unique hub for training, practical application and exchange where everyone can experiment, learn, and progress in the fields of artificial intelligence and data.

In accordance with its core purpose of orchestrating the symbiotic relationship between humans and AI in the workplace, Everience is making the augmented employee the driving force of a “symbiotic age”, where AI enhances talents and opens up new career opportunities.

We are looking for an AI Engineer to design, develop, and deploy innovative AI solutions that create strong business value.

The AI Engineer will collaborate closely with technical, data, and business teams to integrate intelligent solutions into the company’s products and operations.

Key Responsibilities:

• Design, train, and optimize Machine Learning and Deep Learning models
• Develop data processing and automation pipelines
• Participate in data collection, cleaning, and analysis
• Deploy AI models into production environments
• Monitor model performance and ensure continuous improvement
• Collaborate with technical and business teams to identify AI use cases
• Conduct technology watch on AI trends and innovations
• Document developments and ensure best technical practices

Technical Skills:

• Strong proficiency in Python
• Experience with AI frameworks ( TensorFlow, PyTorch, Scikit-learn)
• Experience with SQL and NoSQL databases
• Knowledge of MLOps and CI/CD tools
• Experience with cloud platforms ( AWS, Azure,GCP) 
• Knowledge of Generative AI and LLM technologies is appreciated
• Good knowledge of Git and software development best practices

Experience:

• 2–5 years of experience in AI / Machine Learning projects
• Experience in cloud or SaaS environments is a plus

Education:

• Master’s degree in Computer Science, Artificial Intelligence, Data Science, Applied Mathematics, or a related field

Why Join Everience?

• Join an international company driven by innovation and digital transformation
• Work on cutting-edge AI projects with real business impact
• Collaborate with multidisciplinary and multicultural teams
• Grow your expertise in a fast-evolving technological environment
• Benefit from continuous learning and career development opportunities
• Contribute to shaping the future of AI-driven services and solutions
• Be part of a dynamic company that values creativity, collaboration, and excellence

All our positions are open to both women and men and are, of course, open to people with disabilities.