Xerago - Senior AI Engineer - Data Modeling

Overview

We're seeking a visionary Senior AI Engineer / Architect to join our exclusive AI Innovation Team within Digital Engineering. As a key member of this elite group, you'll spearhead groundbreaking AI initiatives that have the potential to revolutionize the digital landscape. Your role will be pivotal in designing, implementing, and overseeing cutting-edge AI solutions that not only drive our business forward but also shape the future of digital technology. This is a unique opportunity to work on innovation initiatives that could redefine industry standards and create lasting impact.

Key Responsibilities

• Architect and design scalable, efficient AI systems and infrastructure.
• Mentor and guide AI engineers in best practices and emerging technologies.
  
  

• Rapid progression : DemoBytes ? POC ? MVP ? Demoable ? Production.
• Monthly releases of demo versions.
• Production releases every two months.
• Oversee the integration of AI solutions into existing systems and workflows.
• Monitor AI industry trends and maintain state-of-the-art industry knowledge.
• Stay ahead of AI trends and incorporate cutting-edge technologies into our solutions.
• Implement best practices for AI testing, deployment, and maintenance.
• Ensure ethical AI practices and compliance with data protection :
• 8 - 10 years in AI/ML architecture, emphasizing rapid prototyping.
• Proven design of scalable AI architectures for fast-paced development.
• Strong ML/DL background and proficiency in current AI frameworks.
• Proficiency in AI technologies : Python, TensorFlow, PyTorch, Keras, LLM (Large Language Model), WatsonX, Weights and Biases.
• Proficiency in AI tools like Cursor, Windsurf,Claude.
• Deep understanding of pre-trained models and libraries (e.g., Hugging Face, scikit-learn, Gensim, Spacy, NLTK YOLO, FastAI).
• Track record of guiding AI projects from concept to production quickly.
• Skill in translating complex AI concepts into practical solutions.
• Excellent communication of technical ideas to diverse stakeholders.
• Knowledge of ethical AI and data protection regulations.
• Experience with AI testing and deployment in agile environments.
  
  

(ref:hirist.tech)