Search for Senior AI & Machine Learning Engineer roles, full-time positions, preferably in the consulting industry, with a focus on Python and cloud computing platforms, based in Charlotte, NC.

Okay, I’ve searched for Senior AI & Machine Learning Engineer roles that are full-time positions in the consulting industry, focused on Python and cloud computing platforms, located in Charlotte, NC. I found 42 positions that match your criteria.

Senior AI & Machine Learning Engineer

Charlotte, NC

Consulting

Full-time

Python

Can you help me to analyze the job description and company culture?

Sure. Here's the analysis:

Job Analysis:

The Senior AI & Machine Learning Engineer role at EY fundamentally revolves around leveraging cutting-edge AI technology to deliver innovative solutions for various clients. This involves not only developing scalable AI systems that are tailored to meet specific business needs but also enhancing data pipelines to ensure accuracy and integrity in data processing. Key responsibilities include engaging directly with clients, requiring a high level of cross-functional coordination and effective communication. Given the dynamic nature of consulting, success in this role entails continuous learning and the ability to adapt quickly to new challenges as they arise. Candidates will face problems related to optimizing machine learning models, ensuring they integrate well with various data sources, and addressing the unique needs of each client. Success may be measured by the quality of the AI solutions delivered, the ongoing support provided, and the ability to build strong client relationships while meeting project deadlines and expectations.

Company Analysis:

EY operates at the forefront of the consulting industry, focusing on integrating technology, data science, and AI to build a better working world. As a globally connected powerhouse, EY holds a significant market position with a commitment to innovation, which greatly influences the scope and expectations of the AI & Machine Learning Engineer role. The company seems to prioritize a collaborative culture that values diverse thinking and creativity, which is essential for problem-solving in AI applications. This role is likely within a multidisciplinary team structure, affording the candidate a chance to collaborate with specialists and gain high visibility with clients. The strategic alignment of this position indicates that EY views AI not merely as a technical offering but as a key driver for business transformation and client value creation, setting the stage for professionals in this role to make a significant impact on the firm's growth and innovation.

Mock up some interview questions based on the job description.

Absolutely. Here are some mock interview questions that could come up:

Tell me about a time when you had to implement an AI solution for a complex problem. What was your approach and what were the results?
Describe a situation where you encountered a significant challenge while building a scalable machine learning model. How did you address it?
Can you provide an example of a project where you had to collaborate with diverse teams? How did you manage differing perspectives and achieve a successful outcome?
How do you prioritize and manage multiple deliverables in a fast-paced environment such as consulting?
Explain your experience with enhancing data pipelines for machine learning applications. What specific tools did you use?
Walk us through your process for deploying a machine learning model on a cloud platform. What factors did you consider?
Imagine you are tasked with developing an AI model for a client in a new industry. What steps would you take to ensure that the model meets their specific needs?
How would you handle a situation where a machine learning model you developed is underperforming? What steps would you take to investigate and improve its performance?
Why are you interested in working at EY specifically, and how do you see this role aligning with your career goals?
What do you think are the most pressing issues that EY’s clients face today regarding AI, and how can you contribute to solving them?
What are some emerging trends in AI and machine learning that excite you, and how would you integrate these trends into your work?
Can you ask how EY supports continuous learning and professional development for team members in technical roles?
What would you like to know about the team you'll be working with or the types of projects they handle?
How does EY’s culture of innovation manifest in day-to-day operations, especially in technology and AI?
What opportunities do you see for growth within the position of Senior AI & Machine Learning Engineer at EY?

Job Details

Overview Company

Senior AI & Machine Learning Engineer

$105.8k/y-$174.8k/y

21 hours ago

Highlight

HybridFull-time3+ yearsSenior

Summary

EY is seeking an AI & Machine Learning Engineer - Senior - Consulting to join their team in Charlotte, NC. The role involves researching, building, and implementing scalable AI systems tailored to diverse business environments.

About the Role

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. You will contribute significantly to the delivery of innovative AI solutions, work with a wide variety of clients to deliver the latest data science and big data technologies, and provide guidance to ensure data science solutions are properly engineered and maintained.

About You

Required:

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.
Experience using Generative AI models and frameworks e.g. OpenAI family, open source LLMs, Dall-e, LlamaIndex, Langchain, Retrieval Augmented Generation (RAG).
Experience working with popular ML packages such as scikit-learn, Pytorch and ONNX, or related ML libraries.
Extensive experience using DevOps tools like GIT, Azure Devops and Agile tools such as Jira.
A solid understanding of Machine Learning (ML) workflows including ingesting, analysing, transforming data and evaluating results.
Experience with MLOps methods and platforms such as MLFlow.
Experience with CI/CD and test-driven development.
Experience designing, building, and maintaining ML models, frameworks, and pipelines.
Experience designing and deploying end to end ML workflows on at least one major cloud computing platform.
Understanding of data structures, data modelling and software engineering best practices.
Proficiency using data manipulation tools and libraries such as SQL, Pandas, and Spark.
Clearly communicating findings, recommendations, and opportunities to improve data systems and solutions.
Experience with containerization and scaling models.
Integrating models and feedback from downstream consumption systems - reporting and dashboards, AI driven applications.
Proficiency in deep learning techniques.
Strong foundation in mathematics, statistics, and operations research.
Experience with machine learning algorithms and data architecture design.
Familiarity with cloud computing and technical design optimization.
Knowledge of natural language processing and image processing techniques.
Understanding of continuous integration and deployment methodologies.
Experience in scaling models for various applications.
Strong mathematical and quantitative skills including calculus, linear algebra, and statistics.
Willingness to travel to meet client obligations.

Preferred:

Master's degree Computer Science, Mathematics, Physical Sciences, or other 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.
Strong skills in languages beyond Python: R, JavaScript, Java, C++, C.
Experience fine-tuning Generative AI models.

Benefits

Comprehensive compensation and benefits package.
Base salary range in the US: $105.8k–$174.8k.
Base salary range in New York City Metro Area, Washington State and California (excluding Sacramento): $127.1k–$198.6k.
Medical and dental coverage.
Pension and 401(k) plans.
Wide range of paid time off options.
Flexible vacation policy.
Time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence.

EY is building a better working world by creating new value for clients, people, society, the planet, while building trust in the capital markets.

Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow.

EY teams in more than 150 countries work across a full spectrum of services in assurance, consulting, tax, strategy and transactions, strengthened by sector experience and diverse ecosystem partners.

Find out more about the EY global network: http://ey.com/en_gl/legal-statement

Charlotte, NC