AI & Machine Learning Engineering Consultant - Senior - Consulting
Listed on 2025-12-02
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IT/Tech
AI Engineer, Machine Learning/ ML Engineer, Data Scientist, Data Engineer
AI & Machine Learning Engineering Consultant – Senior – Consulting
EY is looking for a Senior AI & Machine Learning Engineering Consultant to join our Artificial Intelligence and Data team, helping clients solve complex problems using cutting‑edge technology.
Location:
Anywhere in Country
At EY, we’re all in to shape your future with confidence. We help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go.
The OpportunityOur 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.
With constant research and development, you'll build 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'll expect heavy client interaction in a fast‑paced environment and the opportunity to develop your own career path for your unique skills and ambitions.
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.
- 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.
- A Bachelor’s degree (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 Dev Ops tools (GIT, Azure Dev Ops), 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.
- 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.
- 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.
- Comprehensive compensation and benefits package, rewarded based on performance and recognized for the value you bring to the business. Base salary ranges: $106,900 to $176,500 in all geographic locations in the US; $128,400 to $200,600 for New York City Metro Area, Washington State…
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