EY - GDS Consulting - AI and DATA -Gen AI - Senior Manager

pspan style=font-family:Arial, Helvetica, sans-serifspan style=font-size:11.0pxAt 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/pp /pp /pp /pp /ppbspan style=font-size:11.0pxspan style=font-family:Arial, Helvetica, sans-serifJob Description: EY GDS – Data and Analytics (Damp;A) – Sr.Manager – Data Scientist/span/span/b/pp /ppspan style=font-size:11.0pxspan style=font-family:Arial, Helvetica, sans-serifbRole Overview: /bWe are seeking a highly skilled and experienced Senior Data Scientist with a minimum of 14+ 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/span/pp /ppbspan style=font-size:11.0pxspan style=font-family:Arial, Helvetica, sans-serifResponsibilities:/span/span/b/ppbspan style=font-size:11.0pxspan style=font-family:Arial, Helvetica, sans-serifYour technical responsibilities: /span/span/b/pullispan style=font-size:11.0pxspan style=font-family:Arial, Helvetica, sans-serifContribute to the design and implementation of state-of-the-art AI solutions./span/span/lilispan style=font-size:11.0pxspan style=font-family:Arial, Helvetica, sans-serifAssist in the development and implementation of AI models and systems, leveraging techniques such as Language Models (LLMs) and generative AI./span/span/lilispan style=font-size:11.0pxspan style=font-family:Arial, Helvetica, sans-serifCollaborate with stakeholders to identify business opportunities and define AI project goals./span/span/lilispan style=font-size:11.0pxspan style=font-family:Arial, Helvetica, sans-serifStay updated with the latest advancements in generative AI techniques, such as LLMs, and evaluate their potential applications in solving enterprise challenges./span/span/lilispan style=font-size:11.0pxspan style=font-family:Arial, Helvetica, sans-serifUtilize generative AI techniques, such as LLMs, to develop innovative solutions for enterprise industry use cases./span/span/lilispan style=font-size:11.0pxspan style=font-family:Arial, Helvetica, sans-serifIntegrate 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/span/lilispan style=font-size:11.0pxspan style=font-family:Arial, Helvetica, sans-serifImplement and optimize end-to-end pipelines for generative AI projects, ensuring seamless data processing and model deployment./span/span/lilispan style=font-size:11.0pxspan style=font-family:Arial, Helvetica, sans-serifUtilize vector databases, such as Redis, and NoSQL databases to efficiently handle large-scale generative AI datasets and outputs./span/span/lilispan style=font-size:11.0pxspan style=font-family:Arial, Helvetica, sans-serifImplement similarity search algorithms and techniques to enable efficient and accurate retrieval of relevant information from generative AI outputs./span/span/lilispan style=font-size:11.0pxspan style=font-family:Arial, Helvetica, sans-serifCollaborate with domain experts, stakeholders, and clients to understand specific business requirements and tailor generative AI solutions accordingly./span/span/lilispan style=font-size:11.0pxspan style=font-family:Arial, Helvetica, sans-serifConduct research and evaluation of advanced AI techniques, including transfer learning, domain adaptation, and model compression, to enhance performance and efficiency./span/span/lilispan style=font-size:11.0pxspan style=font-family:Arial, Helvetica, sans-serifEstablish evaluation metrics and methodologies to assess the quality, coherence, and relevance of generative AI outputs for enterprise industry use cases./span/span/lilispan style=font-size:11.0pxspan style=font-family:Arial, Helvetica, sans-serifEnsure compliance with data privacy, security, and ethical considerations in AI applications./span/span/lilispan style=font-size:11.0pxspan style=font-family:Arial, Helvetica, sans-serifLeverage data engineering skills to curate, clean, and preprocess large-scale datasets for generative AI applications./span/span/li/ulp /ppbspan style=font-size:11.0pxspan style=font-family:Arial, Helvetica, sans-serifRequirements:/span/span/b/pullispan style=font-size:11.0pxspan style=font-family:Arial, Helvetica, sans-serifBachelors or Masters degree in Computer Science, Engineering, or a related field. A Ph.D. is a plus./span/span/lilispan style=font-size:11.0pxspan style=font-family:Arial, Helvetica, sans-serifMinimum 14+ years of experience in Data Science and Machine Learning./span/span/lilispan style=font-size:11.0pxspan style=font-family:Arial, Helvetica, sans-serifIn-depth knowledge of machine learning, deep learning, and generative AI techniques./span/span/lilispan style=font-size:11.0pxspan style=font-family:Arial, Helvetica, sans-serifProficiency in programming languages such as Python, R, and frameworks like TensorFlow or PyTorch./span/span/lilispan style=font-size:11.0pxspan style=font-family:Arial, Helvetica, sans-serifStrong understanding of NLP techniques and frameworks such as BERT, GPT, or Transformer models./span/span/lilispan style=font-size:11.0pxspan style=font-family:Arial, Helvetica, sans-serifFamiliarity with computer vision techniques for image recognition, object detection, or image generation./span/span/lilispan style=font-size:11.0pxspan style=font-family:Arial, Helvetica, sans-serifExperience with cloud platforms such as Azure, AWS, or GCP and deploying AI solutions in a cloud environment./span/span/lilispan style=font-size:11.0pxspan style=font-family:Arial, Helvetica, sans-serifExpertise in data engineering, including data curation, cleaning, and preprocessing./span/span/lilispan style=font-size:11.0pxspan style=font-family:Arial, Helvetica, sans-serifKnowledge of trusted AI practices, ensuring fairness, transparency, and accountability in AI models and systems./span/span/lilispan style=font-size:11.0pxspan style=font-family:Arial, Helvetica, sans-serifStrong collaboration with software engineering and operations teams to ensure seamless integration and deployment of AI models./span/span/lilispan style=font-size:11.0pxspan style=font-family:Arial, Helvetica, sans-serifExcellent problem-solving and analytical skills, with the ability to translate business requirements into technical solutions./span/span/lilispan style=font-size:11.0pxspan style=font-family:Arial, Helvetica, sans-serifStrong communication and interpersonal skills, with the ability to collaborate effectively with stakeholders at various levels./span/span/lilispan style=font-size:11.0pxspan style=font-family:Arial, Helvetica, sans-serifUnderstanding of data privacy, security, and ethical considerations in AI applications./span/span/lilispan style=font-size:11.0pxspan style=font-family:Arial, Helvetica, sans-serifTrack record of driving innovation and staying updated with the latest AI research and advancements./span/span/li/ulpbspan style=font-size:11.0pxspan style=font-family:Arial, Helvetica, sans-serifGood to Have Skills:/span/span/b/pullispan style=font-size:11.0pxspan style=font-family:Arial, Helvetica, sans-serifApply trusted AI practices to ensure fairness, transparency, and accountability in AI models and systems./span/span/lilispan style=font-size:11.0pxspan style=font-family:Arial, Helvetica, sans-serifUtilize optimization tools and techniques, including MIP (Mixed Integer Programming)./span/span/lilispan style=font-size:11.0pxspan style=font-family:Arial, Helvetica, sans-serifDrive DevOps and MLOps practices, covering continuous integration, deployment, and monitoring of AI models./span/span/lilispan style=font-size:11.0pxspan style=font-family:Arial, Helvetica, sans-serifImplement CI/CD pipelines for streamlined model deployment and scaling processes./span/span/lilispan style=font-size:11.0pxspan style=font-family:Arial, Helvetica, sans-serifUtilize tools such as Docker, Kubernetes, and Git to build and manage AI pipelines./span/span/lilispan style=font-size:11.0pxspan style=font-family:Arial, Helvetica, sans-serifApply infrastructure as code (IaC) principles, employing tools like Terraform or CloudFormation./span/span/lilispan style=font-size:11.0pxspan style=font-family:Arial, Helvetica, sans-serifImplement monitoring and logging tools to ensure AI model performance and reliability./span/span/lilispan style=font-size:11.0pxspan style=font-family:Arial, Helvetica, sans-serifCollaborate seamlessly with software engineering and operations teams for efficient AI model integration and deployment./span/span/lilispan style=font-size:11.0pxspan style=font-family:Arial, Helvetica, sans-serifFamiliarity with DevOps and MLOps practices, including continuous integration, deployment, and monitoring of AI models./span/span/li/ulp /ppspan style=font-family:Arial, Helvetica, sans-serifspan style=font-size:11.0pxbEY | Building a better working world /b/span/span/ppbrspan style=font-family:Arial, Helvetica, sans-serifspan style=font-size:11.0px brEY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.  /span/span/ppbrspan style=font-family:Arial, Helvetica, sans-serifspan style=font-size:11.0px brEnabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate.  /span/span/ppbrspan style=font-family:Arial, Helvetica, sans-serifspan style=font-size:11.0px brWorking across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.  /span/span/p