MS-FDL-Sr AI Engineer-Senior - E

at EY

Location:

Employment Type: full_time


Job Description

<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 style="margin:0.0cm 0.0cm 8.0pt;line-height:115%;font-size:12.0pt;font-family:Aptos, sans-serif"><strong>Role Overview: </strong></p><p style="margin:0.0cm 0.0cm 8.0pt;line-height:115%;font-size:12.0pt;font-family:Aptos, sans-serif">We are seeking a highly skilled and experienced <strong>Senior Data Scientist</strong> with a minimum of 4 years of experience in Data Science and Machine Learning, with a strong focus on NLP, Generative AI, LLMs, MLOps, Optimization techniques, and Agentic 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 Agents, workflows and systems. Additionally, expertise in data engineering, DevOps, and MLOps practices will be valuable in this role.</p><p style="margin:0.0cm 0.0cm 8.0pt;line-height:115%;font-size:12.0pt;font-family:Aptos, sans-serif"> </p><p style="margin:0.0cm 0.0cm 8.0pt;line-height:115%;font-size:12.0pt;font-family:Aptos, sans-serif"><strong>Key Responsibilities:</strong></p><ul style="margin-bottom:0.0cm;margin-top:0.0px"><li style="margin:0.0cm 0.0cm 0.0cm 0.0px;line-height:115%;font-size:12.0pt;font-family:Aptos, sans-serif">Design and implement state-of-the-art Agentic AI solutions tailored for the financial and accounting industry.</li><li style="margin:0.0cm 0.0cm 0.0cm 0.0px;line-height:115%;font-size:12.0pt;font-family:Aptos, sans-serif">Develop and implement AI models and systems, leveraging techniques such as Language Models (LLMs) and generative AI to solve industry-specific challenges.</li><li style="margin:0.0cm 0.0cm 0.0cm 0.0px;line-height:115%;font-size:12.0pt;font-family:Aptos, sans-serif">Collaborate with stakeholders to identify business opportunities and define AI project goals within the financial and accounting sectors.</li><li style="margin:0.0cm 0.0cm 0.0cm 0.0px;line-height:115%;font-size:12.0pt;font-family:Aptos, sans-serif">Stay updated with the latest advancements in generative AI techniques, such as LLMs, Agents and evaluate their potential applications in financial and accounting contexts.</li><li style="margin:0.0cm 0.0cm 0.0cm 0.0px;line-height:115%;font-size:12.0pt;font-family:Aptos, sans-serif">Utilize generative AI techniques, such as LLMs and Agentic Framework, to develop innovative solutions for financial and accounting use cases.</li><li style="margin:0.0cm 0.0cm 0.0cm 0.0px;line-height:115%;font-size:12.0pt;font-family:Aptos, sans-serif">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.</li><li style="margin:0.0cm 0.0cm 0.0cm 0.0px;line-height:115%;font-size:12.0pt;font-family:Aptos, sans-serif">Implement and optimize end-to-end pipelines for generative AI projects, ensuring seamless data processing and model deployment.</li><li style="margin:0.0cm 0.0cm 0.0cm 0.0px;line-height:115%;font-size:12.0pt;font-family:Aptos, sans-serif">Utilize vector databases, such as Redis, and NoSQL databases to efficiently handle large-scale generative AI datasets and outputs.</li><li style="margin:0.0cm 0.0cm 0.0cm 0.0px;line-height:115%;font-size:12.0pt;font-family:Aptos, sans-serif">Implement similarity search algorithms and techniques to enable efficient and accurate retrieval of relevant information from generative AI outputs.</li><li style="margin:0.0cm 0.0cm 0.0cm 0.0px;line-height:115%;font-size:12.0pt;font-family:Aptos, sans-serif">Collaborate with domain experts, stakeholders, and clients to understand specific business requirements and tailor generative AI solutions accordingly.</li><li style="margin:0.0cm 0.0cm 0.0cm 0.0px;line-height:115%;font-size:12.0pt;font-family:Aptos, sans-serif">Establish evaluation metrics and methodologies to assess the quality, coherence, and relevance of generative AI outputs for financial and accounting use cases.</li><li style="margin:0.0cm 0.0cm 0.0cm 0.0px;line-height:115%;font-size:12.0pt;font-family:Aptos, sans-serif">Ensure compliance with data privacy, security, and ethical considerations in AI applications.</li><li style="margin:0.0cm 0.0cm 8.0pt 0.0px;line-height:115%;font-size:12.0pt;font-family:Aptos, sans-serif">Leverage data engineering skills to curate, clean, and preprocess large-scale datasets for generative AI applications.</li></ul><p style="margin:0.0cm 0.0cm 8.0pt;line-height:115%;font-size:12.0pt;font-family:Aptos, sans-serif"> </p><p style="margin:0.0cm 0.0cm 8.0pt;line-height:115%;font-size:12.0pt;font-family:Aptos, sans-serif"><strong>Qualifications &amp; Skills:</strong></p><ul style="margin-bottom:0.0cm;margin-top:0.0px"><li style="margin:0.0cm 0.0cm 0.0cm 0.0px;line-height:115%;font-size:12.0pt;font-family:Aptos, sans-serif"><strong>Education</strong> – Bachelor’s/Master’s in Computer Science, Engineering, or related field (Ph.D. preferred).</li><li style="margin:0.0cm 0.0cm 0.0cm 0.0px;line-height:115%;font-size:12.0pt;font-family:Aptos, sans-serif"><strong>Experience</strong> – 4+ years in Data Science/Machine Learning with proven end-to-end project delivery.</li><li style="margin:0.0cm 0.0cm 0.0cm 0.0px;line-height:115%;font-size:12.0pt;font-family:Aptos, sans-serif"><strong>Technical Expertise</strong> – Strong in ML, deep learning, generative AI, RAG, and agentic AI design patterns.</li><li style="margin:0.0cm 0.0cm 0.0cm 0.0px;line-height:115%;font-size:12.0pt;font-family:Aptos, sans-serif"><strong>Programming Skills</strong> – Proficient in Python (plus R), with hands-on experience in TensorFlow, PyTorch, and modern ML/data stacks.</li><li style="margin:0.0cm 0.0cm 0.0cm 0.0px;line-height:115%;font-size:12.0pt;font-family:Aptos, sans-serif"><strong>GenAI Frameworks</strong> – Experience with LangChain, LangGraph, Crew, and other agentic AI frameworks.</li><li style="margin:0.0cm 0.0cm 0.0cm 0.0px;line-height:115%;font-size:12.0pt;font-family:Aptos, sans-serif"><strong>Cloud &amp; Infrastructure</strong> – Skilled in AWS/Azure/GCP, containerization (Docker, Kubernetes), automation (CI/CD), and data/ML pipelines.</li><li style="margin:0.0cm 0.0cm 0.0cm 0.0px;line-height:115%;font-size:12.0pt;font-family:Aptos, sans-serif"><strong>Data Engineering</strong> – Expertise in data curation, preprocessing, feature engineering, and handling large-scale datasets.</li><li style="margin:0.0cm 0.0cm 0.0cm 0.0px;line-height:115%;font-size:12.0pt;font-family:Aptos, sans-serif"><strong>AI Governance</strong> – Knowledge of responsible AI, including fairness, transparency, privacy, and security.</li><li style="margin:0.0cm 0.0cm 0.0cm 0.0px;line-height:115%;font-size:12.0pt;font-family:Aptos, sans-serif"><strong>Collaboration &amp; Communication</strong> – Strong cross-functional leadership with ability to align technical work to business goals and communicate insights clearly.</li><li style="margin:0.0cm 0.0cm 8.0pt 0.0px;line-height:115%;font-size:12.0pt;font-family:Aptos, sans-serif"><strong>Innovation &amp; Thought Leadership</strong> – Track record of driving innovation, staying updated with latest AI/LLM advancements, and advocating best practices.</li></ul><p style="margin:0.0cm 0.0cm 8.0pt;line-height:115%;font-size:12.0pt;font-family:Aptos, sans-serif"> </p><p style="margin:0.0cm 0.0cm 8.0pt;line-height:115%;font-size:12.0pt;font-family:Aptos, sans-serif"><strong>Good to Have Skills:</strong></p><ul style="margin-bottom:0.0cm;margin-top:0.0px"><li style="margin:0.0cm 0.0cm 0.0cm 0.0px;line-height:115%;font-size:12.0pt;font-family:Aptos, sans-serif">Apply trusted AI practices to ensure fairness, transparency, and accountability in AI models.</li><li style="margin:0.0cm 0.0cm 0.0cm 0.0px;line-height:115%;font-size:12.0pt;font-family:Aptos, sans-serif">Utilize optimization tools and techniques, including MIP (Mixed Integer Programming).</li><li style="margin:0.0cm 0.0cm 0.0cm 0.0px;line-height:115%;font-size:12.0pt;font-family:Aptos, sans-serif">Deep knowledge of classical AIML (regression, classification, time series, clustering).</li><li style="margin:0.0cm 0.0cm 0.0cm 0.0px;line-height:115%;font-size:12.0pt;font-family:Aptos, sans-serif">Drive DevOps and MLOps practices, covering CI/CD and monitoring of AI models.</li><li style="margin:0.0cm 0.0cm 0.0cm 0.0px;line-height:115%;font-size:12.0pt;font-family:Aptos, sans-serif">Implement CI/CD pipelines for streamlined model deployment and scaling processes.</li><li style="margin:0.0cm 0.0cm 0.0cm 0.0px;line-height:115%;font-size:12.0pt;font-family:Aptos, sans-serif">Utilize tools such as Docker, Kubernetes, and Git to build and manage AI pipelines.</li><li style="margin:0.0cm 0.0cm 0.0cm 0.0px;line-height:115%;font-size:12.0pt;font-family:Aptos, sans-serif">Apply infrastructure as code (IaC) principles, employing tools like Terraform or CloudFormation.</li><li style="margin:0.0cm 0.0cm 0.0cm 0.0px;line-height:115%;font-size:12.0pt;font-family:Aptos, sans-serif">Implement monitoring and logging tools to ensure AI model performance and reliability.</li><li style="margin:0.0cm 0.0cm 0.0cm 0.0px;line-height:115%;font-size:12.0pt;font-family:Aptos, sans-serif">Collaborate seamlessly with software engineering and operations teams for efficient AI model integration and deployment.</li><li style="margin:0.0cm 0.0cm 8.0pt 0.0px;line-height:115%;font-size:12.0pt;font-family:Aptos, sans-serif">Familiarity with DevOps and MLOps practices, including continuous integration, deployment, and monitoring of AI models.</li></ul><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>