AI & Machine Learning Engineering Consultant - Senior - Consulting - Location OPEN

EY•Hartford, DC

2d•$106,900 - $200,600•Remote

About The Position

The AI, Data & Engineering team at EY helps clients apply cutting-edge technology and techniques to bring solutions to life. As part of this team, you will work closely with clients and diverse EY teams to develop well-rounded approaches to advising and solving challenging problems, some of which may be novel. The role offers a dynamic environment with constant research and development, allowing you to build knowledge applicable across a wide range of projects. A passion for continuous learning, staying ahead of trends, and influencing new ways of working is essential to position solutions in the most relevant and innovative way for clients. You can expect significant client interaction in a fast-paced environment and the opportunity to develop your own career path aligned with 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.

Requirements

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
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.

Nice To Haves

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

Responsibilities

Contribute significantly to the delivery of innovative AI solutions.
Work with a wide variety of clients to deliver modern AI engineering, machine learning, and generative AI technologies.
Design and build scalable solutions that unify, enrich, and derive insights from varied data sources across a broad technology landscape.
Help clients navigate the complex world of modern data science, analytics, and software engineering.
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 clients.
Join a dynamic and interdisciplinary team of scientists and engineers who tackle challenging computational problems for clients.
Think creatively, build applications efficiently, and collaborate in both the ideation of solutions and the pursuit of new opportunities.
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.