AI & Machine Learning Engineering Consultant - Senior - Consulting - Location OPEN
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Technology – Data and Decision Science – AI Native Engineering
AI / Machine Learning Engineer, Senior Consultant
The 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’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 Native Engineer, you will be at the forefront of revolutionizing how businesses leverage artificial intelligence. Your role will involve researching, building, and implementing scalable AI systems that learn and make predictions 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.
Your 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.
- This position may have travel requirements as needed to engage with external clients regularly.
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.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 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 (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 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.Ideally, you’ll also have
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.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.
What We Offer You
We offer a comprehensive compensation and benefits package where you’ll be rewarded based on your performance and recognized for the value you bring to the business. The base salary range for this job in all geographic locations in the US is $106,900 to $176,500. The base salary range for New York City Metro Area, Washington State and California (excluding Sacramento) is $128,400 to $200,600. Individual salaries within those 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.Join us in our team‑led and leader‑enabled hybrid model. Our expectation is for most people in external, client serving roles to work together in person 40‑60% of the time over the course of an engagement, project or year.Under our flexible vacation policy, you’ll decide how much vacation time you need based on your own personal circumstances. You’ll also be granted time off for designated EY Paid Holidays, Winter / Summer breaks, Personal / Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well‑being.Are you ready to shape your future with confidence? Apply today.
EY accepts applications for this position on an on-going basis.
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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, including arrest and conviction records, in accordance with applicable law.
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