AI & Machine Learning Engineering Consultant - Senior - Consulting - Location OPEN
About the role
withparagraphs. Then "The opportunity Our AI, Data & Engineering team helps apply cutting edge technology..." That's also about role. Could combine. We need to avoid duplication. We need sections: Responsibilities: there is "Your Key Responsibilities" and bullet list after "You will spend your time on key responsibilities that include:" with three items. Also earlier bullet list: "You will contribute significantly..." etc. We'll combine all responsibilities into a
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Requirements: The posting has "To qualify for the role, you must have:" list of qualifications. That's requirements. Also "Ideally, you’ll also have:" is preferred qualifications. Could be under Requirements or Qualifications. We'll treat "Requirements" as mandatory qualifications, and maybe "Qualifications" as preferred? But spec says use headings: About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. We need to decide what goes where.
We have "Skills And Attributes For Success" which is skills. So Skills section.
We have "What We Look For" maybe part of Skills or Qualities. Could be part of Skills.
We have "What We Offer You At EY" includes benefits and salary range. So Benefits and Pay sections.
Schedule: Not mentioned. So we should not include Schedule heading.
We need to include Pay section with salary ranges. Provide specifics.
Benefits: medical and dental coverage, pension and 401(k) plans, wide range of paid time off options.
We need to ensure we don't include boilerplate like EEO, etc.
We must not repeat job title as heading.
We must not include Job ID/requisition numbers.
We must not include application instructions, cookie/navigation/legal/EEO etc.
We must preserve all substantive info.
Let's extract substantive content.
Introductory paragraphs:
"Location: Anywhere in Country At EY, we’re all in to shape your future with confidence. We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. The opportunity Our AI, Data & Engineering team helps apply cutting edge technology and techniques to bring solutions to our clients. As part of that, you'll sit side-by-side with clients and diverse teams from EY to create a well-rounded approach to advising and solving challenging problems, some of which have not been solved before. No two days will be the same, and with constant research and development, you'll find yourself building knowledge that can be applied across a wide range of projects now, and in the future. You'll need to have a passion for continuous learning, stay ahead of the trends, and influence new ways of working so you can position solutions in the most relevant and innovative way for our clients. You can expect heavy client interaction in a fast-paced environment and the opportunity to develop your own career path for your unique skills and ambitions. As a Senior AI Engineer, you will be at the forefront of revolutionizing how businesses leverage artificial intelligence. Your role will involve researching, building, and implementing scalable AI, machine learning, generative AI, and agentic systems that learn, reason, and generate outputs tailored to diverse business environments, whether in the cloud or on-premises. You will enhance data pipelines to ensure data integrity and optimize learning processes, all while collaborating with a talented team of data and analytics professionals."
That's a lot; we can put in About the role.
Then "Your Key Responsibilities In this role, you will contribute significantly to the delivery of innovative AI solutions. You will work with a wide variety of clients to deliver modern AI engineering, machine learning, and generative AI technologies. Your teams will design and build scalable solutions that unify, enrich, and derive insights from varied data sources across a broad technology landscape. You will help our clients navigate the complex world of modern data science, analytics, and software engineering. We'll look to you to provide guidance and perform technical development tasks to ensure AI solutions are responsibly engineered, evaluated, deployed, and maintained to support the ongoing business needs of our clients. You will be joining a dynamic and interdisciplinary team of scientists and engineers who love to tackle the most challenging computational problems for our clients. We love to think creatively, build applications efficiently, and collaborate in both the ideation of solutions and the pursuit of new opportunities. Many on our team have advanced academic degrees or equivalent experience in industry. You will spend your time on key responsibilities that include: Researching and implementing scalable machine learning, generative AI, and agentic systems that meet business requirements.Enhancing data pipelines and storage for optimal data accuracy and cleanliness.Evaluating, monitoring, and optimizing learning processes to improve high-performance models.This position may have travel requirements as needed to engage with external clients regularly."
We'll combine into responsibilities.
Then "Skills And Attributes For Success To excel in this role, you will need a blend of technical expertise and interpersonal skills. Your ability to navigate complex challenges and deliver impactful solutions will be essential. This role will work to deliver tech at speed, innovate at scale and put humans at the center. Provide technical guidance and share knowledge with team members with diverse skills and backgrounds. Consistently deliver quality client services focusing on more complex, judgmental and/or specialized issues surrounding emerging technology. Demonstrate technical capabilities and professional knowledge. Learn about EY and its service lines and actively assess and present ways to apply knowledge and services. Strong analytical and decision-making skills to guide project direction.Proven experience in project management and tracking deliverable completion.Ability to build and maintain relationships with clients and team members.Excellent communication skills to convey complex ideas effectively."
That's skills.
Then "To qualify for the role, you must have: A Bachelor’s degree required (4-year degree).3-6 years of full-time working experience in AI and/or Machine LearningStrong skills in PythonAbility to collaborate and communicate effectively with diverse, hybrid and global teamsExperience designing, building, and maintaining high-impact, high-value production AI/ML solutions on a major cloud platformProficient in foundation models, generative AI, and agentic AI frameworks (e.g., OpenAI, Dall-e, Langchain, Retrieval Augmented Generation (RAG)) and experienced with ML packages like scikit-learn and PyTorchExperience with natural language processing and deep learningExtensive experience in DevOps tools (GIT, Azure DevOps), Agile methodologies (Jira), and CI/CD pipelines for developing, deploying, and scaling analytical solutionsExperience with MLOps, LLMOps, and AgentOps and ML workflows, including data ingestion, transformation, and evaluationExperience with model retraining and feedback loop methodologiesExperience with model and solution evaluation, observability, monitoring and reportingUnderstanding of data structures, Responsible AI practices, and data modelling, and software engineering best practicesStrong foundation in mathematics, statistics, and operations research, with proficiency in data manipulation tools (SQL, Pandas, Spark) and deep learning techniquesExcellent communication skills for conveying findings and recommendations, with a willingness to travel for client engagements"
That's requirements (mandatory).
Then "Ideally, you’ll also have: Master's degree Computer Science, Mathematics, Physical Sciences, or another quantitative fieldExperience in hybrid collaboration and emotional agilityA track record of working with diverse teams to drive outcomes through complex problem-solvingKnowledge of sustainability practices in technologyA deep understanding of and ability to teach concepts, tools, features, functions, and benefits of different approaches to apply themStrong skills in languages beyond Python: R, JavaScript, Java, C++, CExperience fine-tuning Generative AI modelsExperience with image processing techniques and/or speech and audio processing and analysis"
That's qualifications (preferred).
Then "What We Look For We seek individuals who are not only technically proficient but also possess the qualities of a top performer. You should be innovative, adaptable, and purpose driven by a desire to make a significant impact in the field of artificial intelligence. Your ability to collaborate effectively and communicate with clarity will set you apart as a leader in our team."
Could be part of Skills or Qualities. Might fit under Skills as additional attributes.
Then "What We Offer You At EY, we harness our collective strength to empower you to shape your future with confidence through professional growth, personal fulfillment and an inclusive culture. Learn more at ey.com/us/careers. The salary range for this job is:New York City, Boston, and Washington DC Metro Areas, Washington State, and Southern California offices – $128,400 to $192,500Bay Area California offices – $133,600 to $200,600All other offices locations in the US, including Sacramento – $106,900 to $176,500Individual salaries within these ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography. In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options."
Thus Benefits: medical and dental coverage, pension and 401(k) plans, wide range of paid time off options.
Pay: salary ranges as above.
We should not include the "Learn more at ey.com/us/careers." maybe considered boilerplate? It's a link but not required. Might be considered navigation? Probably safe to omit.
We must not include EEO etc.
Now produce HTML.
Structure:
About the role
... (intro paragraphs)
Responsibilities
- ... ...
Requirements
- ... ...
Qualifications
- ... ...
Skills
- ... ...
Benefits
- Medical and dental coverage
- Pension and 401(k) plans
- Wide range of paid time off options
Pay
Salary ranges: New York City, Boston, and Washington DC Metro Areas, Washington State, and Southern California offices – $128,400 to $192,500; Bay Area California offices – $133,600 to $200,600; All other offices locations in the US, including Sacramento – $106,900 to $176,500. Individual salaries within these ranges are determined based on education, experience, knowledge, skills, and geography.
We should not include Schedule. Check that we didn't include any placeholder like "commensurate with experience". Not present. Now we need to ensure we preserve all substantive info. Did we miss any? Let's verify. From About the role we included the introductory paragraphs up to "You will enhance data pipelines...". Did we include the sentence "As a Senior AI Engineer, you will be at the forefront..."? Yes included. We also included "The opportunity Our AI, Data & Engineering team helps apply cutting edge technology..." etc. We might have missed some sentences after that like "You'll need to have a passion for continuous learning..." etc. We included that. Check we included "You can expect heavy client interaction in a fast-paced environment and the opportunity to develop your own career path for your unique skills and ambitions." Yes. Now responsibilities: we included the paragraphs before the bullet list and the three bullet items. Did we include "This position may have travel requirements as needed to engage with external clients regularly." Yes we can include as a