Azure Generative AI Data Engineer in Customertimes

We are looking for a talented Azure Generative AI Data Engineer to join our team.We invite you to be part of our dynamic team and work on exciting, data-driven projects!Job Description:We are seeking an experienced Azure Generative AI Data Engineer to join our team and work with clients on exciting generative projects. Your first project will involve enhancing a GPT-3.5-based chatbot integrated into a virtual reality trning platform for sales representatives. In this role, you'll focus on improving the chatbot’s performance, speed, and accuracy while integrating it more effectively with ’s cloud infrastructure.The project is focused on developing an innovative turning platform for sales representatives using VR and Unity technologies. It allows them to practice skills in realistic 3D environments, such as supermarkets and restaurants, by arranging products and marketing materials.Key features include:• Platform optimization and scalability for international use;• Multi-user trning mode for collaborative learning;• Analytics to evaluate trning effectiveness;• Integration with and chatbots for real-time assistance;• Tools for creating lessons and layouts;• Dynamic content updates tlored by country.The goal is to make trning more interactive and effective, preparing sales reps to achieve better results in real-world settings.Responsibilities:Optimize Models: Work on refining generative solutions to reduce latency, improve content retrieval and quality of responses, and manage localized content based on different user regions;Improve User Experience: Ensure a smooth, high-performance experience for users in various locations by using cloud services to optimize the chatbot’s speed and accuracy in real-time;Client Interaction: You’ll have the chance to work directly with clients, explning technical concepts in an easy-to-understand way, and keeping them updated on project progress.Qualifications: Experience: 5+ years of experience in Data engineering, with a focus on cloud technologies and generative ;Education: Bachelor's degree in Computer Science, Information Technology, or a related field;Azure Cloud Experience: Expertise with Azure data stacks such as Azure Machine Learning and OpenAI Services, Azure Kubernetes Service (AKS), and Azure Blob Storage;Experience with GPT Models: Hands-on experience working with GPT-3.5, GPT-4, or similar generative AI models, particularly through Azure OpenAI Service;Data Management Expertise: Familiarity with vector databases, data chunking strategies, multilingual embedding models, reranking techniques, and content retrieval (RAG);Cloud Scaling Skills: Experience with performance management in Azure, including dynamic scaling and leveraging GPU resources for accelerated AI workloads;Optimization Expertise: In-depth knowledge of code optimization for AI, including improving speed, minimizing redundant computations, and managing memory effectively;Communication Skills: Comfortable talking with clients and teammates, explaining your technical decisions clearly, and able to create architecture diagrams to help illustrate your ideas;Team Player: Ability to collaborate effectively in cross-functional teams;Agile Environment Experience: Comfortable working in an agile environment, adapting to evolving project needs and delivering results iteratively.We offer: Opportunities for professional growth and advancement;A collaborative and innovative work environment;20 days of pd vacation, 15 pd days of sick leave with a doctor's note, and 5 days of pd sick leave without a doctor's note;Medical insurance covee for employees, plus an option for family insurance covee at a corporate rate (modify this information according to the location search);Support for participation in professional development opportunities (webinars, conferences, trnings, etc.);Regular team-building opportunities as well as bi-annual company-wide events;Flexible work environments, including in-office, remote, or hybrid, based on employee preference and manager approval. Show more Show less Посадовий рівень Старший середній рівень Тип зайнятості Повний робочий день Посадові обов’язки Інженерія і Інформаційні технології Галузі ІТ-послуги та ІТ Консалтинг