EY
AI & Machine Learning Engineering Consultant - Senior - Consulting - Location OP
EY, Washington, District of Columbia, us, 20022
AI & Machine Learning Engineering Consultant - Senior - Consulting - Location OPEN
Join to apply for the
AI & Machine Learning Engineering Consultant - Senior - Consulting - Location OPEN
role at
EY
Location: Anywhere in Country
Overview 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.
Opportunity Our Artificial Intelligence and Data 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 will 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 ambition.
Key Responsibilities
Researching and implementing scalable AI systems that meet business requirements.
Enhancing data pipelines and storage for optimal data accuracy and cleanliness.
Monitoring and optimizing learning processes to improve high‑performance models.
Supporting travel requirements to engage with external clients as needed.
Skills and Attributes for Success
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.
Qualifications
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 Generative AI models and frameworks (e.g., OpenAI, Dall‑e, Langchain, Retrieval Augmented Generation) 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 and ML workflows, including data ingestion, transformation, and evaluation.
Experience with model retraining and feedback loop methodologies.
Experience with model and solution monitoring and reporting.
Understanding of data structures, 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.
Ideal Experience
Master's degree in 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.
What We Look For We seek individuals who are not only technically proficient but also possess the qualities of a top performer. Innovative, adaptable, and purpose‑driven individuals who can make a significant impact in the field of artificial intelligence.
Benefits
Comprehensive compensation and benefits package based on performance and recognized value.
Base salary range for this job in all geographic locations in the US: $106,900 to $176,500.
Additional details about California, benefits, flexible vacation policy, and hybrid work.
Equal Opportunity Employer EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, genetic information, national origin, protected veteran status, disability status, or any other legally protected basis. EY is committed to providing reasonable accommodation to qualified individuals with disabilities.
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AI & Machine Learning Engineering Consultant - Senior - Consulting - Location OPEN
role at
EY
Location: Anywhere in Country
Overview 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.
Opportunity Our Artificial Intelligence and Data 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 will 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 ambition.
Key Responsibilities
Researching and implementing scalable AI systems that meet business requirements.
Enhancing data pipelines and storage for optimal data accuracy and cleanliness.
Monitoring and optimizing learning processes to improve high‑performance models.
Supporting travel requirements to engage with external clients as needed.
Skills and Attributes for Success
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.
Qualifications
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 Generative AI models and frameworks (e.g., OpenAI, Dall‑e, Langchain, Retrieval Augmented Generation) 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 and ML workflows, including data ingestion, transformation, and evaluation.
Experience with model retraining and feedback loop methodologies.
Experience with model and solution monitoring and reporting.
Understanding of data structures, 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.
Ideal Experience
Master's degree in 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.
What We Look For We seek individuals who are not only technically proficient but also possess the qualities of a top performer. Innovative, adaptable, and purpose‑driven individuals who can make a significant impact in the field of artificial intelligence.
Benefits
Comprehensive compensation and benefits package based on performance and recognized value.
Base salary range for this job in all geographic locations in the US: $106,900 to $176,500.
Additional details about California, benefits, flexible vacation policy, and hybrid work.
Equal Opportunity Employer EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, genetic information, national origin, protected veteran status, disability status, or any other legally protected basis. EY is committed to providing reasonable accommodation to qualified individuals with disabilities.
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