AI Engineer

At Hermes Corporate, we are dedicated to solving complex business challenges through cutting-edge AI solutions. Join our dynamic team as an AI Engineer and help us design and deploy innovative AI systems that drive success across industries.

Why Choose Hermes?

• Agile Work Environment: No time clock systems, full trust, and work is based on goals and results. We believe in giving our team the flexibility to thrive.
• HUB55: A coworking space in Florence where you can share projects, ideas, and build valuable relationships with like-minded professionals.
• Employee Benefits: Annual activities and bonuses dedicated to rewarding our talent and celebrating success together.

Key Responsibilities:

• Design, develop, and deploy AI solutions to address complex business challenges across multiple domains.
• Fine-tune and optimize pre-trained language models for domain-specific applications.
• Build and maintain efficient data processing pipelines for model training and inference.
• Implement and test model deployment strategies within production environments to ensure scalability and performance.
• Collaborate with cross-functional teams to identify high-impact use cases and deliver AI-powered solutions that meet business needs.
• Continuously evaluate model performance and enhance accuracy and efficiency through iterative improvements.
• Stay up-to-date with the latest AI research and advancements, applying best practices to our solutions.

Required Qualifications:

• Bachelor's degree in Computer Science, Engineering, or a related field.
• 3+ years of hands-on experience developing and deploying AI solutions in real-world settings.
• Strong programming skills in Python and solid experience with deep learning frameworks (e.g., PyTorch, TensorFlow).
• Expertise with transformer architectures and large language models (LLMs) such as Llama, Mistral, Falcon, and others.
• Proficient in model optimization techniques like quantization, pruning, and distillation.
• Familiarity with MLOps and model deployment workflows to ensure robust and efficient operations.
• Excellent problem-solving skills and a keen eye for detail to identify and resolve complex issues.

Preferred Qualifications:

• Master’s degree in AI, Machine Learning, or a related field.
• Experience with Vision-Language Models (VLMs) for multimodal applications.
• Expertise in embedding techniques, vector databases, and semantic search.
• Familiarity with LLM orchestration frameworks like LangChain and LlamaIndex.
• Knowledge of Retrieval-Augmented Generation (RAG) techniques.
• Experience with containerization technologies (e.g., Docker, Kubernetes).
• Experience with cloud-based ML services (AWS, Azure, etc.).
• Previous experience in industrial environments is a plus.

Apply Now!

If you're ready to bring your AI expertise to a forward-thinking company and make an impact, we’d love to hear from you. Apply today through LinkedIn or send your resume to [email protected]