EY - GDS Consulting - REF - AIA - Gen AI - Senior

<div style="font-family:Arial;font-size:1.0em"><p>At EY, we’re all in to shape your future with confidence. </p><p>We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. </p><p>Join EY and help to build a better working world. </p></div><div style="font-family:Arial;font-size:1.0em"> </div><p><span style="font-family:arial, helvetica, sans-serif;font-size:10.0pt"><strong>Job Description</strong>: <strong>EY GDS – Data and Analytics (D&amp;A) – Senior – Senior Data Scientist</strong></span></p><p> </p><p><span style="font-family:arial, helvetica, sans-serif;font-size:10.0pt"><strong>Role Overview:</strong> </span></p><p> </p><p><span style="font-family:arial, helvetica, sans-serif;font-size:10.0pt">We are seeking a highly skilled and experienced Senior Data Scientist with a minimum of 3 - 7 years of experience in Data Science and Machine Learning, preferably with experience in NLP, Generative AI, LLMs, MLOps, Optimization techniques, and AI solution Architecture. In this role, you will play a key role in the development and implementation of AI solutions, leveraging your technical expertise. The ideal candidate should have a deep understanding of AI technologies and experience in designing and implementing cutting-edge AI models and systems. Additionally, expertise in data engineering, DevOps, and MLOps practices will be valuable in this role.</span></p><p> </p><p> </p><p><span style="font-family:arial, helvetica, sans-serif;font-size:10.0pt"><strong>Responsibilities:</strong></span></p><p> </p><p><span style="font-family:arial, helvetica, sans-serif;font-size:10.0pt"><strong>Your technical responsibilities:</strong></span></p><p> </p><ul><li style="font-family:arial, helvetica, sans-serif;font-size:10.0pt"><span style="font-family:arial, helvetica, sans-serif;font-size:10.0pt">Contribute to the design and implementation of state-of-the-art AI solutions.</span></li><li style="font-family:arial, helvetica, sans-serif;font-size:10.0pt"><span style="font-family:arial, helvetica, sans-serif;font-size:10.0pt">Assist in the development and implementation of AI models and systems, leveraging techniques such as Language Models (LLMs) and generative AI.</span></li><li style="font-family:arial, helvetica, sans-serif;font-size:10.0pt"><span style="font-family:arial, helvetica, sans-serif;font-size:10.0pt">Collaborate with stakeholders to identify business opportunities and define AI project goals.</span></li><li style="font-family:arial, helvetica, sans-serif;font-size:10.0pt"><span style="font-family:arial, helvetica, sans-serif;font-size:10.0pt">Stay updated with the latest advancements in generative AI techniques, such as LLMs, and evaluate their potential applications in solving enterprise challenges.</span></li><li style="font-family:arial, helvetica, sans-serif;font-size:10.0pt"><span style="font-family:arial, helvetica, sans-serif;font-size:10.0pt">Utilize generative AI techniques, such as LLMs, to develop innovative solutions for enterprise industry use cases.</span></li><li style="font-family:arial, helvetica, sans-serif;font-size:10.0pt"><span style="font-family:arial, helvetica, sans-serif;font-size:10.0pt">Integrate with relevant APIs and libraries, such as Azure Open AI GPT models and Hugging Face Transformers, to leverage pre-trained models and enhance generative AI capabilities.</span></li><li style="font-family:arial, helvetica, sans-serif;font-size:10.0pt"><span style="font-family:arial, helvetica, sans-serif;font-size:10.0pt">Implement and optimize end-to-end pipelines for generative AI projects, ensuring seamless data processing and model deployment.</span></li><li style="font-family:arial, helvetica, sans-serif;font-size:10.0pt"><span style="font-family:arial, helvetica, sans-serif;font-size:10.0pt">Utilize vector databases, such as Redis, and NoSQL databases to efficiently handle large-scale generative AI datasets and outputs.</span></li><li style="font-family:arial, helvetica, sans-serif;font-size:10.0pt"><span style="font-family:arial, helvetica, sans-serif;font-size:10.0pt">Implement similarity search algorithms and techniques to enable efficient and accurate retrieval of relevant information from generative AI outputs.</span></li><li style="font-family:arial, helvetica, sans-serif;font-size:10.0pt"><span style="font-family:arial, helvetica, sans-serif;font-size:10.0pt">Collaborate with domain experts, stakeholders, and clients to understand specific business requirements and tailor generative AI solutions accordingly.</span></li><li style="font-family:arial, helvetica, sans-serif;font-size:10.0pt"><span style="font-family:arial, helvetica, sans-serif;font-size:10.0pt">Conduct research and evaluation of advanced AI techniques, including transfer learning, domain adaptation, and model compression, to enhance performance and efficiency.</span></li><li style="font-family:arial, helvetica, sans-serif;font-size:10.0pt"><span style="font-family:arial, helvetica, sans-serif;font-size:10.0pt">Establish evaluation metrics and methodologies to assess the quality, coherence, and relevance of generative AI outputs for enterprise industry use cases.</span></li><li style="font-family:arial, helvetica, sans-serif;font-size:10.0pt"><span style="font-family:arial, helvetica, sans-serif;font-size:10.0pt">Ensure compliance with data privacy, security, and ethical considerations in AI applications.</span></li><li style="font-family:arial, helvetica, sans-serif;font-size:10.0pt"><span style="font-family:arial, helvetica, sans-serif;font-size:10.0pt">Leverage data engineering skills to curate, clean, and preprocess large-scale datasets for generative AI applications.</span></li></ul><p><span style="font-family:arial, helvetica, sans-serif;font-size:10.0pt"><strong> </strong></span></p><p> </p><p><span style="font-family:arial, helvetica, sans-serif;font-size:10.0pt"><strong>Requirements:</strong></span></p><p> </p><ul><li style="font-family:arial, helvetica, sans-serif;font-size:10.0pt"><span style="font-family:arial, helvetica, sans-serif;font-size:10.0pt">Bachelor's or Master's degree in Computer Science, Engineering, or a related field. A Ph.D. is a plus.</span></li><li style="font-family:arial, helvetica, sans-serif;font-size:10.0pt"><span style="font-family:arial, helvetica, sans-serif;font-size:10.0pt">Minimum 3-7 years of experience in Data Science and Machine Learning.</span></li><li style="font-family:arial, helvetica, sans-serif;font-size:10.0pt"><span style="font-family:arial, helvetica, sans-serif;font-size:10.0pt">In-depth knowledge of machine learning, deep learning, and generative AI techniques.</span></li><li style="font-family:arial, helvetica, sans-serif;font-size:10.0pt"><span style="font-family:arial, helvetica, sans-serif;font-size:10.0pt">Proficiency in programming languages such as Python, R, and frameworks like TensorFlow or PyTorch.</span></li><li style="font-family:arial, helvetica, sans-serif;font-size:10.0pt"><span style="font-family:arial, helvetica, sans-serif;font-size:10.0pt">Strong understanding of NLP techniques and frameworks such as BERT, GPT, or Transformer models.</span></li><li style="font-family:arial, helvetica, sans-serif;font-size:10.0pt"><span style="font-family:arial, helvetica, sans-serif;font-size:10.0pt">Familiarity with computer vision techniques for image recognition, object detection, or image generation.</span></li><li style="font-family:arial, helvetica, sans-serif;font-size:10.0pt"><span style="font-family:arial, helvetica, sans-serif;font-size:10.0pt">Experience with cloud platforms such as Azure, AWS, or GCP and deploying AI solutions in a cloud environment.</span></li><li style="font-family:arial, helvetica, sans-serif;font-size:10.0pt"><span style="font-family:arial, helvetica, sans-serif;font-size:10.0pt">Expertise in data engineering, including data curation, cleaning, and preprocessing.</span></li><li style="font-family:arial, helvetica, sans-serif;font-size:10.0pt"><span style="font-family:arial, helvetica, sans-serif;font-size:10.0pt">Knowledge of trusted AI practices, ensuring fairness, transparency, and accountability in AI models and systems.</span></li><li style="font-family:arial, helvetica, sans-serif;font-size:10.0pt"><span style="font-family:arial, helvetica, sans-serif;font-size:10.0pt">Strong collaboration with software engineering and operations teams to ensure seamless integration and deployment of AI models.</span></li><li style="font-family:arial, helvetica, sans-serif;font-size:10.0pt"><span style="font-family:arial, helvetica, sans-serif;font-size:10.0pt">Excellent problem-solving and analytical skills, with the ability to translate business requirements into technical solutions.</span></li><li style="font-family:arial, helvetica, sans-serif;font-size:10.0pt"><span style="font-family:arial, helvetica, sans-serif;font-size:10.0pt">Strong communication and interpersonal skills, with the ability to collaborate effectively with stakeholders at various levels.</span></li><li style="font-family:arial, helvetica, sans-serif;font-size:10.0pt"><span style="font-family:arial, helvetica, sans-serif;font-size:10.0pt">Understanding of data privacy, security, and ethical considerations in AI applications.</span></li><li style="font-family:arial, helvetica, sans-serif;font-size:10.0pt"><span style="font-family:arial, helvetica, sans-serif;font-size:10.0pt">Track record of driving innovation and staying updated with the latest AI research and advancements.</span></li></ul><p> </p><p> </p><p><span style="font-family:arial, helvetica, sans-serif;font-size:10.0pt"><strong>Good to Have Skills:</strong></span></p><p> </p><ul><li style="font-family:arial, helvetica, sans-serif;font-size:10.0pt"><span style="font-family:arial, helvetica, sans-serif;font-size:10.0pt">Apply trusted AI practices to ensure fairness, transparency, and accountability in AI models and systems.</span></li><li style="font-family:arial, helvetica, sans-serif;font-size:10.0pt"><span style="font-family:arial, helvetica, sans-serif;font-size:10.0pt">Utilize optimization tools and techniques, including MIP (Mixed Integer Programming).</span></li><li style="font-family:arial, helvetica, sans-serif;font-size:10.0pt"><span style="font-family:arial, helvetica, sans-serif;font-size:10.0pt">Drive DevOps and MLOps practices, covering continuous integration, deployment, and monitoring of AI models.</span></li><li style="font-family:arial, helvetica, sans-serif;font-size:10.0pt"><span style="font-family:arial, helvetica, sans-serif;font-size:10.0pt">Implement CI/CD pipelines for streamlined model deployment and scaling processes.</span></li><li style="font-family:arial, helvetica, sans-serif;font-size:10.0pt"><span style="font-family:arial, helvetica, sans-serif;font-size:10.0pt">Utilize tools such as Docker, Kubernetes, and Git to build and manage AI pipelines.</span></li><li style="font-family:arial, helvetica, sans-serif;font-size:10.0pt"><span style="font-family:arial, helvetica, sans-serif;font-size:10.0pt">Apply infrastructure as code (IaC) principles, employing tools like Terraform or CloudFormation.</span></li><li style="font-family:arial, helvetica, sans-serif;font-size:10.0pt"><span style="font-family:arial, helvetica, sans-serif;font-size:10.0pt">Implement monitoring and logging tools to ensure AI model performance and reliability.</span></li><li style="font-family:arial, helvetica, sans-serif;font-size:10.0pt"><span style="font-family:arial, helvetica, sans-serif;font-size:10.0pt">Collaborate seamlessly with software engineering and operations teams for efficient AI model integration and deployment.</span></li><li style="font-family:arial, helvetica, sans-serif;font-size:10.0pt"><span style="font-family:arial, helvetica, sans-serif;font-size:10.0pt">Familiarity with DevOps and MLOps practices, including continuous integration, deployment, and monitoring of AI models.</span></li></ul><p> </p><div style="font-family:Arial;font-size:1.0em"><p><b>EY | Building a better working world </b></p><p>EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets.</p><p>Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow.</p><p>EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.</p></div>