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

- **Company:** Ernst & Young LLP
- **Location:** Las Vegas, NV, United States
- **Experience:** Expert
- **Salary:** $128,400.0 - $192,500.0
- **Contract:** Permanent contract
- **Skills:** C (Programming Language), Java (Programming Language), JavaScript (Programming Language), Agile Methodology, Artificial Intelligence, Data Analysis, JIRA, Audio Signal Processing, Microsoft Azure, C++ (Programming Language), Data Transformation, Data Structures, DevOps, R (Programming Language), Python (Programming Language), Machine Learning, Natural Language Processing, OpenAI, Software Construction, Software Engineering, SQL Databases, Cloud Platform System, Data Ingestion, Pytorch, LangChain, Large Language Models, Apache Spark, Deep Learning, Generative AI, Agentic-AI, Git, Pandas, Dall-E, Scikit Learn, Information Technology, AgentOps, Machine Learning Operations, Data Pipelines
- **Published:** October 1, 2026
- **Apply:** https://www.lasvegasjobsite.com/job.asp?id=3413462128&tx=DT11808UHD&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54

## About the Role

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., 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.

To qualify for the role, you must have:

 1. A Bachelor's degree required (4-year degree).
 2. 3-6 years of full-time working experience in AI and/or Machine Learning
 3. Strong skills in Python
 4. Ability to collaborate and communicate effectively with diverse, hybrid and global teams
 5. Experience designing, building, and maintaining high-impact, high-value production AI/ML solutions on a major cloud platform
 6. 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
 7. Experience with natural language processing and deep learning
 8. Extensive experience in DevOps tools (GIT, Azure DevOps), Agile methodologies (Jira), and CI/CD pipelines for developing, deploying, and scaling analytical solutions
 9. Experience with MLOps, LLMOps, and AgentOps and ML workflows, including data ingestion, transformation, and evaluation
 10. Experience with model retraining and feedback loop methodologies
 11. Experience with model and solution evaluation, observability, monitoring and reporting
 12. Understanding of data structures, Responsible AI practices, and data modelling, and software engineering best practices
 13. Strong foundation in mathematics, statistics, and operations research, with proficiency in data manipulation tools (SQL, Pandas, Spark) and deep learning techniques
 14. 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.

## Description

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., * 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.


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