Principal AI Engineer

Job not on LinkedIn

🔥 0 minutes ago

🌐 India, Brazil, +4 more countries – Remote

🇮🇳 India – Remote 🇧🇷 Brazil – Remote 🇦🇷 Argentina – Remote 🇨🇱 Chile – Remote 🇲🇽 Mexico – Remote 🇧🇴 Bolivia – Remote

⏰ Full Time

🔴 Lead

🤖 AI Engineer

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Creative Chaos

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2000

💼 Consulting

📣 Marketing

📦 Logistics

Consulting • Marketing • Logistics

Creative Chaos is an innovation delivery agency that partners with businesses of all sizes to develop and bring products to market. They focus on creating user-centered experiences and translating consumer insights into innovative products. They offer services such as team augmentation, MVP (Minimum Viable Product) development, and DevOps and cloud solutions to help businesses innovate, develop, and deliver products efficiently. Creative Chaos acts as an extension to their clients' teams, providing support and expertise throughout the product development process.

📋 Description

• Develop and implement machine learning models and algorithms • Analyze large datasets to derive actionable insights and improve AI systems • Collaborate with data scientists and software engineers to integrate AI functionalities into existing applications • Research and implement the latest advancements in AI technologies and methodologies • Monitor and evaluate the performance of AI models and tweak as necessary • Provide technical support to other teams in utilizing AI solutions effectively • Document development processes, model designs, and results to ensure reproducibility and efficiency • Participate in code reviews and share best practices with the team • Contribute to the overall strategy and direction of the AI initiatives within the company

🎯 Requirements

• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, or a related field • 5+ years of experience as an AI Engineer or similar role in artificial intelligence development • Strong proficiency in Python, Conversational AI, AI data pipelines, RAG (Retrieval-Augmented Generation), and Agentic AI • Experience with machine learning frameworks such as TensorFlow, Keras, or PyTorch • Familiarity with data preprocessing and data augmentation techniques • Solid understanding of algorithms, data structures, and design patterns • Experience with cloud platforms such as AWS or Azure for deploying AI solutions • Strong problem-solving skills and ability to work collaboratively • Excellent communication skills for conveying complex concepts to non-technical stakeholders • Passion for technology and commitment to staying current with industry trends and advancements