AI Engineer (m/w/d)

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

Requirements

• 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.

Additional Information

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.

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