Xenon Seven
Artificial Intelligence • Enterprise
Xenon Seven is a company that specializes in providing AI and data solutions across various industries, including healthcare, financial services, consumer retail, high-tech, automotive, and energy utilities. With expertise in generative AI, decision support systems, predictive analytics, computer vision, robotics, and mechatronics, they support businesses in AI preparedness, exploration, transformation, and scalability. Xenon Seven works with a network of AI technologists and experts from over 20 institutions, focusing on solving complex problems and ensuring secure and seamless AI transitions for businesses. Their services aim to optimize AI infrastructure and performance while maintaining strict security standards.
11 - 50 employees
🤖 Artificial Intelligence
🏢 Enterprise
Senior AI/ML Engineer
3 days ago
Xenon Seven
Artificial Intelligence • Enterprise
Xenon Seven is a company that specializes in providing AI and data solutions across various industries, including healthcare, financial services, consumer retail, high-tech, automotive, and energy utilities. With expertise in generative AI, decision support systems, predictive analytics, computer vision, robotics, and mechatronics, they support businesses in AI preparedness, exploration, transformation, and scalability. Xenon Seven works with a network of AI technologists and experts from over 20 institutions, focusing on solving complex problems and ensuring secure and seamless AI transitions for businesses. Their services aim to optimize AI infrastructure and performance while maintaining strict security standards.
11 - 50 employees
🤖 Artificial Intelligence
🏢 Enterprise
📋 Description
• Lead in building enterprise agentic AI solutions end-to-end • Own solution architecture, estimation, and delivery planning • Act as a senior consultant in Agile/SCRUM projects, ensuring alignment with client needs • Guide and mentor junior/mid-level engineers, ensuring enterprise-grade delivery • Drive client communication, technical validation, and stakeholder confidence • Ensure responsible AI practices, monitoring, and compliance
🎯 Requirements
• Senior AI/ML Engineer (6–10 years) • Strong programming: Python, NumPy/Pandas, SQL • ML/DL frameworks: scikit-learn, PyTorch, TensorFlow • MLOps: Docker, CI/CD pipelines • Cloud platforms: AWS, Azure • AI application essentials: RAG with embeddings/vector databases, model serving/APIs, NLP/Transformers, evaluation/monitoring, responsible AI
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