Artificial Intelligence Engineer

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Artificial Intelligence Engineer, ancona

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Client:

Hermes Corporate

Location:

Job Category:

Other

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EU work permit required:

Yes

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Job Reference:

7514075576756338688337131

Job Views:

2

Posted:

12.05.2025

Expiry Date:

26.06.2025

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Job Description:

We’re seeking an AI Data Scientist Consultant with deep expertise in optimization and graph-based machine learning to join our team. This role is ideal for a versatile, hands-on developer with a passion for tackling complex business problems using 3D data, graph ML, and immersive visualization strategies.

Key Responsibilities

• Design, develop, and deploy AI solutions centered on graph representations and 3D datasets
• Build models that interpret and manipulate complex 3D structures
• Create immersive and interactive 3D visualization tools
• Integrate ML solutions with CAD/CAE software environments
• Develop efficient data pipelines for model training and inference
• Implement, test, and optimize model deployment in production
• Create and manage APIs for seamless model integration
• Collaborate with cross-functional teams to drive AI-powered use cases
• Continuously evaluate and improve model performance
• Stay up to date on emerging AI trends and technologies

Required Qualifications

• Bachelor's degree in Computer Science or related field
• 3+ years of experience building and deploying AI/ML models
• Strong Python skills with expertise in scientific and visualization libraries
• Proficiency in PyTorch or TensorFlow and optimization libraries
• Experience with unit testing and Git-based version control
• Solid grasp of OOP and modern design patterns
• Strong analytical and problem-solving abilities
• Familiarity with Agile development methodologies

Preferred Qualifications

• Master’s degree in AI, Machine Learning, or related field
• Hands-on experience with Graph Neural Networks or knowledge graphs
• Experience working with CAD/CAE software and 3D ML applications
• Proficiency in 3D data visualization techniques
• Familiarity with model compression (pruning, quantization) and deployment
• Experience with Docker, Kubernetes, or other containerization tools
• Exposure to cloud ML platforms (AWS, Azure, GCP)
• Background in industrial or manufacturing environments