AI Engineer - Data Science Background

August 8

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Connecting data scientists/engineers and companies, perfectly.

Marketplace for Hiring Data Scientists • Staffing & Recruiting • Machine Learning • Big Data • Analytics

11 - 50

Description

• Develop and implement production-level Generative AI models within an agentic architecture. • Utilize local LLMs, OpenAI fine-tuning, and RAG techniques. • Design and optimize prompts for AI models to enhance performance and user interaction. • Work with embeddings to improve the accuracy and relevance of AI models. • Apply data science techniques to extract, cluster, and analyze data to drive AI model improvements. • Collaborate with cross-functional teams to understand business requirements and translate them into AI solutions. • Continuously monitor and improve AI models to ensure high performance and accuracy. • Conduct research and stay up-to-date with the latest advancements in AI and data science. • Create and maintain comprehensive documentation for AI models and data science processes.

Requirements

• Bachelor's or Master’s degree in Computer Science, Data Science, or a related field. • 3-6 years of experience • Proven experience in developing and deploying Generative AI models in a production environment. • Strong proficiency in data clustering, data mining, and feature extraction techniques. • Experience with local LLMs, OpenAI fine-tuning, and Retrieval-Augmented Generation (RAG). • Proficiency in prompt engineering and working with embeddings. • Proficiency in programming languages such as Python and C#. • Experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch). • Strong analytical and problem-solving skills. Excellent communication and teamwork abilities.