AI & Machine Learning Engineering Consultant - Senior - Consulting - Location OPEN
for each section heading. Use - for lists. Use
for prose.
We need to preserve all substantive information; do not invent or summarize away detail. So we need to keep the specifics: e.g., bullet points exactly as given.
Let's extract exact text.
From posting:
Intro:
"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 keep as prose.
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:"
Then bullet list:
- 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.
Note: The bullet list originally had three bullets then a sentence about travel. We'll keep as separate bullet maybe.
Now "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 a paragraph; we can keep as prose.
Then "To qualify for the role, you must have:" list:
- A Bachelor’s degree required (4-year degree).
- 3-6 years of full-time working experience in AI and/or Machine Learning
- Strong skills in Python
- Ability to collaborate and communicate effectively with diverse, hybrid and global teams
- Experience designing, building, and maintaining high-impact, high-value production AI/ML solutions on a major cloud platform
- Proficient 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 PyTorch
- Experience with natural language processing and deep learning
- Extensive experience in DevOps tools (GIT, Azure DevOps), Agile methodologies (Jira), and CI/CD pipelines for developing, deploying, and scaling analytical solutions
- Experience with MLOps, LLMOps, and AgentOps and ML workflows, including data ingestion, transformation, and evaluation
- Experience with model retraining and feedback loop methodologies
- Experience with model and solution evaluation, observability, monitoring and reporting
- Understanding of data structures, Responsible AI practices, and data modelling, and software engineering best practices
- Strong foundation in mathematics, statistics, and operations research, with proficiency in data manipulation tools (SQL, Pandas, Spark) and deep learning techniques
- Excellent communication skills for conveying findings and recommendations, with a willingness to travel for client engagements
Then "Ideally, you’ll also have:" list:
- Master's degree Computer Science, Mathematics, Physical Sciences, or another quantitative field
- Experience in hybrid collaboration and emotional agility
- A track record of working with diverse teams to drive outcomes through complex problem-solving
- Knowledge of sustainability practices in technology
- A deep understanding of and ability to teach concepts, tools, features, functions, and benefits of different approaches to apply them
- Strong skills in languages beyond Python: R, JavaScript, Java, C++, C
- Experience fine-tuning Generative AI models
- Experience with image processing techniques and/or speech and audio processing and analysis
Then "What We Look For" paragraph: maybe not needed as separate section; could be part of Skills or Attributes. But we have Skills section already; we could incorporate that paragraph into Skills or maybe a separate "Attributes" but we only have Skills heading. We'll incorporate into Skills.
Then "What We Offer You At EY" paragraph: "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: ..." Then salary details. Then "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: professional growth, personal fulfillment, inclusive culture, medical and dental coverage, pension and 401(k) plans, wide range of paid time off options. Also maybe "Learn more at ey.com/us/careers." but that's a link; we can include as part of benefits prose.
Pay: Salary range details: 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 $192,500; 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 through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography.
We'll keep that as prose under Pay.
Schedule: none, so omit.
Now we need to output only HTML fragment, no markdown fences.
We'll structure:
About the role
... (intro paragraphs up to before responsibilities)
Responsibilities
... (maybe the paragraph before bullet list) then
- ...
...
But we need to preserve all substantive info; we can include the paragraph before bullet list as part of responsibilities prose, then the bullet list.
Similarly for Skills: Skills
... (Skills And Attributes For Success paragraph) maybe also include "What We Look For" paragraph? Could combine.
Requirements:
Requirements
...
Qualifications: Qualifications
...
Benefits: Benefits
... (What We Offer You At EY excluding salary) maybe also include the inclusive culture etc.
Pay:
Pay
... salary details.
We must not include headings with empty content.
Now we need to ensure we don't repeat job title as heading. Not using.
Now let's craft the HTML.
We need to be careful to preserve exact wording, but we can adjust minor punctuation
for prose. We need to preserve all substantive information; do not invent or summarize away detail. So we need to keep the specifics: e.g., bullet points exactly as given. Let's extract exact text. From posting: Intro: "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 keep as prose. 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:" Then bullet list: - 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. Note: The bullet list originally had three bullets then a sentence about travel. We'll keep as separate bullet maybe. Now "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 a paragraph; we can keep as prose. Then "To qualify for the role, you must have:" list: - A Bachelor’s degree required (4-year degree). - 3-6 years of full-time working experience in AI and/or Machine Learning - Strong skills in Python - Ability to collaborate and communicate effectively with diverse, hybrid and global teams - Experience designing, building, and maintaining high-impact, high-value production AI/ML solutions on a major cloud platform - Proficient 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 PyTorch - Experience with natural language processing and deep learning - Extensive experience in DevOps tools (GIT, Azure DevOps), Agile methodologies (Jira), and CI/CD pipelines for developing, deploying, and scaling analytical solutions - Experience with MLOps, LLMOps, and AgentOps and ML workflows, including data ingestion, transformation, and evaluation - Experience with model retraining and feedback loop methodologies - Experience with model and solution evaluation, observability, monitoring and reporting - Understanding of data structures, Responsible AI practices, and data modelling, and software engineering best practices - Strong foundation in mathematics, statistics, and operations research, with proficiency in data manipulation tools (SQL, Pandas, Spark) and deep learning techniques - Excellent communication skills for conveying findings and recommendations, with a willingness to travel for client engagements Then "Ideally, you’ll also have:" list: - Master's degree Computer Science, Mathematics, Physical Sciences, or another quantitative field - Experience in hybrid collaboration and emotional agility - A track record of working with diverse teams to drive outcomes through complex problem-solving - Knowledge of sustainability practices in technology - A deep understanding of and ability to teach concepts, tools, features, functions, and benefits of different approaches to apply them - Strong skills in languages beyond Python: R, JavaScript, Java, C++, C - Experience fine-tuning Generative AI models - Experience with image processing techniques and/or speech and audio processing and analysis Then "What We Look For" paragraph: maybe not needed as separate section; could be part of Skills or Attributes. But we have Skills section already; we could incorporate that paragraph into Skills or maybe a separate "Attributes" but we only have Skills heading. We'll incorporate into Skills. Then "What We Offer You At EY" paragraph: "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: ..." Then salary details. Then "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: professional growth, personal fulfillment, inclusive culture, medical and dental coverage, pension and 401(k) plans, wide range of paid time off options. Also maybe "Learn more at ey.com/us/careers." but that's a link; we can include as part of benefits prose. Pay: Salary range details: 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 $192,500; 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 through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography. We'll keep that as prose under Pay. Schedule: none, so omit. Now we need to output only HTML fragment, no markdown fences. We'll structure:
About the role
... (intro paragraphs up to before responsibilities)
Responsibilities
... (maybe the paragraph before bullet list) then
- ... ...
Skills
... (Skills And Attributes For Success paragraph) maybe also include "What We Look For" paragraph? Could combine. Requirements:
Requirements
- ...
Qualifications
- ...
Benefits
... (What We Offer You At EY excluding salary) maybe also include the inclusive culture etc. Pay:
Pay
... salary details. We must not include headings with empty content. Now we need to ensure we don't repeat job title as heading. Not using. Now let's craft the HTML. We need to be careful to preserve exact wording, but we can adjust minor punctuation