Experienced AI Professional

<p><span><span>At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. </span></span></p> <p> </p> <p> </p> <p> </p> <p> </p> <p><strong>The opportunity</strong></p> <p> </p> <p>Modern technology produces more data than ever before and has also produced new AI algorithms and tools, resulting in new opportunities and substantiated business insights in support of new and deeper insights, more informed actions and decision making. EY delivers leading services and solutions in AI and GenAI, including multi-agent AI solutions using LLMs, image generation, computer vision and more. We also infuse AI in traditional practices for big data, business intelligence and data engineering built on a blend of tools and custom-developed methods.</p> <p> </p> <p>As part of our AI &amp; Data team of the Technology Consulting practice, you will be working with multi-disciplinary teams to support clients in a wide range of AI, GenAI and Multi-Agent initiatives, aiming to generate and present new, useful and actionable insights. You will have the opportunity to work and take responsibilities in challenging engagements, gaining exposure to clients in various sectors both in Romania and abroad.</p> <p> </p> <p><strong>Your key responsibilities</strong></p> <p> </p> <p>•             Design and develop AI algorithms, models, and systems using tools like PyTorch and TensorFlow for real-world applications.</p> <p>•             Keep up with the latest advancements in AI technologies, including generative AI and the latest features of popular tools.</p> <p>•             Collaborate with cross-functional teams to understand requirements and develop AI solutions.</p> <p>•             Collect, clean, and preprocess data using appropriate tools and libraries, ensuring compatibility with AI algorithms and frameworks.</p> <p>•             Train, test, and evaluate predictive AI models employing appropriate evaluation metrics.</p> <p>•             Architect AI/GenAI enabled solutions for real-world problems.</p> <p>•             Build / develop AI / GenAI solutions for real-world problems, e.g. RAG question answering systems.</p> <p>•             Architect and Build Agentic AI systems for real-world problems.</p> <p>•             Optimize and fine-tune models for performance, scalability and efficiency.</p> <p>•             Implement and deploy AI solutions in production environments under different frameworks.</p> <p>•             Ability to build applications and use appropriate prompting on generative AI models.</p> <p>•             Stay abreast of emerging AI trends and technologies.</p> <p> </p> <p><strong>Skills and attributes for success</strong></p> <p> </p> <p>•             Bachelor’s, Master’s or PhD in computer science, data science, engineering, or a related field.</p> <p>•             Strong background in AI, machine learning, deep learning, and statistical modeling, with hands-on experience using tools such as PyTorch, TensorFlow, and others.</p> <p>•             Experience and understanding of core Deep Learning &amp; Generative AI architectures and technologies.</p> <p>•             Proficiency in programming languages such as Python, Java, or C++.</p> <p>•             Experience working with many or all of the following technologies/tools: Generative AI, Transformers, Deep Learning, Large Language Models (LLMs) as GPT variants or open source models like LLaMA, Image generative AI systems as DALL-E, Stable Diffusion or MidJourney, Speech Transcription (e.g. open source Whisper from Meta, or enterprise tools from Microsoft, or Google, or Amazon, etc.), video generation tools like Sora, etc.</p> <p>•             Ability to architect solutions built on the core technologies underlying LLMs and Generative AI applications (open-source, Azure Open AI, Amazon, Anthropic, etc.)</p> <p>•             Required AI skills include prompt-engineering, interacting with both open-source &amp; general-purpose AI systems, implementation of basic AI/GenAI solutions like RAG or similar.</p> <p>•             Finetuning or distilling LLMs or other predictive or generative AI models will be considered a plus as well knowledge of programming GPU-based computing infrastructure (i.e. GPU systems for training optimization) using CUDA and or the NVIDIA software stack.</p> <p>•             Experience working with RESTful API and general microservice-oriented architectures.</p> <p>•             Solid understanding of data structures, algorithms, and software development principles.</p> <p>•             Strong analytical, problem solving and critical thinking skills.</p> <p>•             Good interpersonal skills and ability to work effectively within high-performi