Search for AI & Machine Learning Engineer roles anywhere in the US, particularly in the TMT sector. I'm looking for positions that require 6-10 years of experience, with strong skills in Python and a focus on data science.

Okay, I've searched for AI & Machine Learning Engineer roles in the US, specifically in the TMT industry, requiring 6-10 years of experience and strong Python skills. I found 157 positions that match your criteria.

AI & Machine Learning Engineer

Anywhere in US

TMT

6-10 years

Python

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

Sure. Here's the analysis:

Job Analysis:

The AI & Machine Learning Engineer - Manager role at EY is fundamentally about leading and delivering advanced AI solutions that cater specifically to the technology, media, and telecommunications (TMT) sector. This position requires the candidate to not only be technically proficient in AI and machine learning but also adept at understanding unique industry dynamics, such as telecommunications protocols like 5G or LTE. The emphasis on cross-functional teamwork suggests that collaboration and client engagement will be central to the role, meaning successful candidates should excel in both technical and interpersonal skills. In facing the complex challenges of creating scalable AI systems tailored to business needs, individuals will be expected to apply innovative problem-solving techniques while managing teams and client relationships. Key responsibilities include leading project delivery, optimizing data processes, and influencing new working methodologies for AI applications. Thus, success in this role will involve navigating dynamic client interactions while delivering high-quality, data-driven solutions that drive business outcomes.

Company Analysis:

EY is positioned as a global leader in various consulting services, underpinned by its commitment to innovation and new technologies, especially in data and artificial intelligence. As a firm that emphasizes creating value for clients, society, and the environment, the culture is likely to be fast-paced, collaboration-centric, and innovation-driven. The company's dual focus on trust and integrity means that candidates will need to engage in ethical practices and maintain strong client relationships. This role's alignment with EY's strategic goals is clear: as they seek to leverage advanced technologies to drive business success for clients, it serves to stabilize and expand their consulting service lineup in the TMT sector. The AI & Machine Learning Engineer is a pivotal player who contributes directly to EY's overarching mission by delivering tailored AI solutions in a highly competitive market, making the role both impactful and essential in fostering growth and adaptability within the firm.

Mock up some interview questions based on the job description.

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

Describe a time when you had to lead a technical team on a challenging AI project. What were the challenges, and how did you ensure the project met its objectives?
Can you share an experience where you had to engage with a client to understand their needs for an AI solution? How did you translate those needs into actionable steps?
Tell me about a situation where you identified an innovative solution to a complex problem in a previous role. What was the problem, and what impact did your solution have?
Explain a project where you implemented machine learning solutions that significantly impacted user experience. What were the results and user feedback?
How would you approach building a scalable AI system tailored for the telecommunications industry? What specific technologies or methodologies would you incorporate?
What strategies do you use to clean and prepare data for machine learning models? Can you describe a specific instance where this was critical?
Given the rapid advancements in machine learning, how do you stay informed about new trends and technologies that may impact your work?
Imagine you are faced with a situation where a machine learning model you developed is underperforming. What steps would you take to troubleshoot and improve its performance?
Why are you interested in working at EY specifically, and how do you see your skills aligning with our mission to build a better working world?
Can you discuss how your values align with EY's commitment to building trust and integrity in client relationships?
What excites you about the advancements in AI and data science, especially in the context of consulting within the TMT sector?
If hired, what immediate contributions do you believe you could make to our AI and Data team at EY?
What questions do you have about the culture at EY and how it supports innovative technology initiatives?
How do you think your experience with multi-modal models can benefit our clients in the TMT sector?
What technologies or tools have you successfully used in past projects that you believe could enhance our team's capabilities at EY?

Job Details

Overview Company

AI & Machine Learning Engineer Manager

$124.3k/y-$227.9k/y

9 hours ago

Highlight

HybridFull-time6+ yearsSenior

Summary

EY is seeking an AI & Machine Learning Engineer - TMT - Manager - Consulting to join their team in Indianapolis, IN. The role involves researching, building, and implementing scalable AI systems tailored to business requirements across various environments.

About the Role

As a Manager in AI Native Engineering, you will deliver innovative solutions that drive business success, work with a variety of clients to deliver the latest data science and big data technologies, and lead teams to design and build scalable solutions. You will engage actively with clients, manage professional employees, and identify opportunities for additional services.

About You

Required:

Bachelor’s degree (4-year degree).
6-10 years of relevant experience in AI, Data Science, and/or Machine Learning.
2-4 years of experience managing technical teams.
Strong skills in Python.
Extensive experience in telecommunications, media, or technology sectors.
Proven ability to design and implement machine learning solutions.
Familiarity with telecommunications protocols (e.g., 5G, LTE).
Experience analyzing large-scale datasets from telecommunications networks.
Knowledge of streaming video and audio technologies.
Experience with multi-modal models, including vision-language models.
Understanding of customer segmentation, churn prediction, and recommendation systems.
Knowledge of regulatory and compliance considerations specific to the TMT sector.
Experience with real-time data processing frameworks (e.g., Apache Kafka).
Familiarity with cloud-based telecommunications solutions (e.g., AWS, Azure).
Experience with network optimization algorithms and techniques.
Knowledge of emerging technologies such as edge computing and IoT.
Experience using Generative AI models and frameworks.
Experience with popular ML packages such as scikit-learn, Pytorch, and ONNX.
Extensive experience using DevOps tools like GIT, Azure Devops, and Agile tools such as Jira.
A solid understanding of Machine Learning workflows.
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 major cloud computing platforms.
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.
Experience with containerization and scaling models.
Integrating models and feedback from downstream consumption systems.
Deep Learning expertise.
Proficiency in Mathematics, Statistics, and Operations Research.
Experience with Machine Learning techniques.
Knowledge of Data Architecture Design and Modelling.
Familiarity with Cloud Computing environments.
Skills in Technical Design Optimization.
Experience with Continuous Integration and Continuous Delivery/Deployment.
Understanding of Natural Language Processing and Generation.
Knowledge in Image Processing and Analysis.
Skills in Speech and Audio Processing and Analysis.
Ability to scale models effectively.
Strong relationship-building skills.
Demonstrated client trust and value.
Effective communication skills with impact.
Digital fluency and emotional agility.
Experience in hybrid collaboration.
Commercial acumen and negotiation skills.
Proven ability to lead teams and manage change.
Strong mathematical and quantitative skills including calculus, linear algebra, and statistics.
Willingness to travel to meet client obligations.

Preferred:

Master's degree in Computer Science, Mathematics, Physical Sciences, or other quantitative field.
Experience working with diverse teams to deliver complex solutions.
Strong skills in languages beyond Python: R, JavaScript, Java, C++, C.
Experience fine-tuning Generative AI models.
Experience in managing complex projects with multiple stakeholders.
A strong understanding of industry trends and emerging technologies.
Skills in data visualization and storytelling with data.

Benefits

401(k)
Comprehensive compensation and benefits package.
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

Indianapolis, IN