EY-GDS Consulting-AIA-Data Science-Senior

div style=font-family:Arial;font-size:1.0empAt EY, we’re all in to shape your future with confidence. /ppWe’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. /ppJoin EY and help to build a better working world. /p/divdiv style=font-family:Arial;font-size:1.0em /divpspan style=font-family:arial, helvetica, sans-serif;font-size:10.0ptstrongJob Description/strong: strongEY GDS – Data and Analytics (D And A) – Senior – Senior Data Scientist/strong/span/ppspan style=font-family:arial, helvetica, sans-serif;font-size:10.0ptstrongRole Overview:/strong 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/pp /ppspan style=font-family:arial, helvetica, sans-serif;font-size:10.0ptstrongResponsibilities:/strong/span/ppspan style=font-family:arial, helvetica, sans-serif;font-size:10.0ptstrongYour technical responsibilities:/strong/span/pulli style=font-family:arial, helvetica, sans-serif;font-size:10.0ptspan style=font-family:arial, helvetica, sans-serif;font-size:10.0ptContribute to the design and implementation of state-of-the-art AI solutions./span/lili style=font-family:arial, helvetica, sans-serif;font-size:10.0ptspan style=font-family:arial, helvetica, sans-serif;font-size:10.0ptAssist in the development and implementation of AI models and systems, leveraging techniques such as Language Models (LLMs) and generative AI./span/lili style=font-family:arial, helvetica, sans-serif;font-size:10.0ptspan style=font-family:arial, helvetica, sans-serif;font-size:10.0ptCollaborate with stakeholders to identify business opportunities and define AI project goals./span/lili style=font-family:arial, helvetica, sans-serif;font-size:10.0ptspan style=font-family:arial, helvetica, sans-serif;font-size:10.0ptStay updated with the latest advancements in generative AI techniques, such as LLMs, and evaluate their potential applications in solving enterprise challenges./span/lili style=font-family:arial, helvetica, sans-serif;font-size:10.0ptspan style=font-family:arial, helvetica, sans-serif;font-size:10.0ptUtilize generative AI techniques, such as LLMs, to develop innovative solutions for enterprise industry use cases./span/lili style=font-family:arial, helvetica, sans-serif;font-size:10.0ptspan style=font-family:arial, helvetica, sans-serif;font-size:10.0ptIntegrate 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/lili style=font-family:arial, helvetica, sans-serif;font-size:10.0ptspan style=font-family:arial, helvetica, sans-serif;font-size:10.0ptImplement and optimize end-to-end pipelines for generative AI projects, ensuring seamless data processing and model deployment./span/lili style=font-family:arial, helvetica, sans-serif;font-size:10.0ptspan style=font-family:arial, helvetica, sans-serif;font-size:10.0ptUtilize vector databases, such as Redis, and NoSQL databases to efficiently handle large-scale generative AI datasets and outputs./span/lili style=font-family:arial, helvetica, sans-serif;font-size:10.0ptspan style=font-family:arial, helvetica, sans-serif;font-size:10.0ptImplement similarity search algorithms and techniques to enable efficient and accurate retrieval of relevant information from generative AI outputs./span/lili style=font-family:arial, helvetica, sans-serif;font-size:10.0ptspan style=font-family:arial, helvetica, sans-serif;font-size:10.0ptCollaborate with domain experts, stakeholders, and clients to understand specific business requirements and tailor generative AI solutions accordingly./span/lili style=font-family:arial, helvetica, sans-serif;font-size:10.0ptspan style=font-family:arial, helvetica, sans-serif;font-size:10.0ptConduct research and evaluation of advanced AI techniques, including transfer learning, domain adaptation, and model compression, to enhance performance and efficiency./span/lili style=font-family:arial, helvetica, sans-serif;font-size:10.0ptspan style=font-family:arial, helvetica, sans-serif;font-size:10.0ptEstablish evaluation metrics and methodologies to assess the quality, coherence, and relevance of generative AI outputs for enterprise industry use cases./span/lili style=font-family:arial, helvetica, sans-serif;font-size:10.0ptspan style=font-family:arial, helvetica, sans-serif;font-size:10.0ptEnsure compliance with data privacy, security, and ethical considerations in AI applications./span/lili style=font-family:arial, helvetica, sans-serif;font-size:10.0ptspan style=font-family:arial, helvetica, sans-serif;font-size:10.0ptLeverage data engineering skills to curate, clean, and preprocess large-scale datasets for generative AI applications./span/li/ulpspan style=font-family:arial, helvetica, sans-serif;font-size:10.0ptstrong /strong/span/ppspan style=font-family:arial, helvetica, sans-serif;font-size:10.0ptstrongRequirements:/strong/span/pulli style=font-family:arial, helvetica, sans-serif;font-size:10.0ptspan style=font-family:arial, helvetica, sans-serif;font-size:10.0ptBachelors or Masters degree in Computer Science, Engineering, or a related field. A Ph.D. is a plus./span/lili style=font-family:arial, helvetica, sans-serif;font-size:10.0ptspan style=font-family:arial, helvetica, sans-serif;font-size:10.0ptMinimum 3-7 years of experience in Data Science and Machine Learning./span/lili style=font-family:arial, helvetica, sans-serif;font-size:10.0ptspan style=font-family:arial, helvetica, sans-serif;font-size:10.0ptIn-depth knowledge of machine learning, deep learning, and generative AI techniques./span/lili style=font-family:arial, helvetica, sans-serif;font-size:10.0ptspan style=font-family:arial, helvetica, sans-serif;font-size:10.0ptProficiency in programming languages such as Python, R, and frameworks like TensorFlow or PyTorch./span/lili style=font-family:arial, helvetica, sans-serif;font-size:10.0ptspan style=font-family:arial, helvetica, sans-serif;font-size:10.0ptStrong understanding of NLP techniques and frameworks such as BERT, GPT, or Transformer models./span/lili style=font-family:arial, helvetica, sans-serif;font-size:10.0ptspan style=font-family:arial, helvetica, sans-serif;font-size:10.0ptFamiliarity with computer vision techniques for image recognition, object detection, or image generation./span/lili style=font-family:arial, helvetica, sans-serif;font-size:10.0ptspan style=font-family:arial, helvetica, sans-serif;font-size:10.0ptExperience with cloud platforms such as Azure, AWS, or GCP and deploying AI solutions in a cloud environment./span/lili style=font-family:arial, helvetica, sans-serif;font-size:10.0ptspan style=font-family:arial, helvetica, sans-serif;font-size:10.0ptExpertise in data engineering, including data curation, cleaning, and preprocessing./span/lili style=font-family:arial, helvetica, sans-serif;font-size:10.0ptspan style=font-family:arial, helvetica, sans-serif;font-size:10.0ptKnowledge of trusted AI practices, ensuring fairness, transparency, and accountability in AI models and systems./span/lili style=font-family:arial, helvetica, sans-serif;font-size:10.0ptspan style=font-family:arial, helvetica, sans-serif;font-size:10.0ptStrong collaboration with software engineering and operations teams to ensure seamless integration and deployment of AI models./span/lili style=font-family:arial, helvetica, sans-serif;font-size:10.0ptspan style=font-family:arial, helvetica, sans-serif;font-size:10.0ptExcellent problem-solving and analytical skills, with the ability to translate business requirements into technical solutions./span/lili style=font-family:arial, helvetica, sans-serif;font-size:10.0ptspan style=font-family:arial, helvetica, sans-serif;font-size:10.0ptStrong communication and interpersonal skills, with the ability to collaborate effectively with stakeholders at various levels./span/lili style=font-family:arial, helvetica, sans-serif;font-size:10.0ptspan style=font-family:arial, helvetica, sans-serif;font-size:10.0ptUnderstanding of data privacy, security, and ethical considerations in AI applications./span/lili style=font-family:arial, helvetica, sans-serif;font-size:10.0ptspan style=font-family:arial, helvetica, sans-serif;font-size:10.0ptTrack record of driving innovation and staying updated with the latest AI research and advancements./span/li/ulpspan style=font-family:arial, helvetica, sans-serif;font-size:10.0ptstrongGood to Have Skills:/strong/span/pulli style=font-family:arial, helvetica, sans-serif;font-size:10.0ptspan style=font-family:arial, helvetica, sans-serif;font-size:10.0ptApply trusted AI practices to ensure fairness, transparency, and accountability in AI models and systems./span/lili style=font-family:arial, helvetica, sans-serif;font-size:10.0ptspan style=font-family:arial, helvetica, sans-serif;font-size:10.0ptUtilize optimization tools and techniques, including MIP (Mixed Integer Programming)./span/lili style=font-family:arial, helvetica, sans-serif;font-size:10.0ptspan style=font-family:arial, helvetica, sans-serif;font-size:10.0ptDrive DevOps and MLOps practices, covering continuous integration, deployment, and monitoring of AI models./span/lili style=font-family:arial, helvetica, sans-serif;font-size:10.0ptspan style=font-family:arial, helvetica, sans-serif;font-size:10.0ptImplement CI/CD pipelines for streamlined model deployment and scaling processes./span/lili style=font-family:arial, helvetica, sans-serif;font-size:10.0ptspan style=font-family:arial, helvetica, sans-serif;font-size:10.0ptUtilize tools such as Docker, Kubernetes, and Git to build and manage AI pipelines./span/lili style=font-family:arial, helvetica, sans-serif;font-size:10.0ptspan style=font-family:arial, helvetica, sans-serif;font-size:10.0ptApply infrastructure as code (IaC) principles, employing tools like Terraform or CloudFormation./span/lili style=font-family:arial, helvetica, sans-serif;font-size:10.0ptspan style=font-family:arial, helvetica, sans-serif;font-size:10.0ptImplement monitoring and logging tools to ensure AI model performance and reliability./span/lili style=font-family:arial, helvetica, sans-serif;font-size:10.0ptspan style=font-family:arial, helvetica, sans-serif;font-size:10.0ptCollaborate seamlessly with software engineering and operations teams for efficient AI model integration and deployment./span/lili style=font-family:arial, helvetica, sans-serif;font-size:10.0ptspan style=font-family:arial, helvetica, sans-serif;font-size:10.0ptFamiliarity with DevOps and MLOps practices, including continuous integration, deployment, and monitoring of AI models./span/li/ulp /pdiv style=font-family:Arial;font-size:1.0empbEY | Building a better working world /b/ppEY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets./ppEnabled 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./ppEY 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