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AI and Generative AI Senior Developer

EY

AI and Generative AI Senior Developer

EY

·

On-site

·

Full-time

·

6d ago

At EY, we’re all in to shape your future with confidence.

We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go.

Join EY and help to build a better working world.

Job Title: AI and Generative AI Senior Developer

Department: Machine Learning

Summary:

We are looking for a Generative AI Lead Developer to join our team and help us to design, build, and deploy state-of-the-art generative AI solutions. As a Senior Generative AI Lead Developer, you will be responsible for leading and mentoring a team of engineers in the development of innovative generative AI solutions to real-world problems. You will also work closely with product managers and business stakeholders to understand their needs and develop solutions that meet those needs.

Responsibilities:

  • Design and develop AI and Generative AI based custom solutions for our service delivery teams

  • Work with other team members to implement and deploy generative AI systems into production.

  • Monitor and manage generative AI systems in production to ensure that they are meeting performance and reliability requirements.

  • Develop and implement best practices for building, deploying, and managing generative AI systems.

  • Stay up-to-date on the latest research and developments in generative AI and apply new knowledge to our work.

  • Collaborate with other engineers, scientists, and product managers to develop and deliver innovative generative AI solutions.

  • Mentor and guide junior engineers

Qualifications:

  • Bachelors or master's degree in computer science, Artificial Intelligence, or a related field.

  • 1+ years of experience in generative AI.

  • 6+ years of experience in AI based software development

Preferred Skills and Experience:

  • Strong experience in designing, building, and deploying scalable machine learning models in cloud platforms such as Azure or GCP

  • Experience with a variety of generative AI models and techniques.

  • Experience with deep learning models such as GANs, diffusion models, and transformers.

  • Experience with prompt engineering and machine learning optimization

  • Experience with computer vision and natural language processing.

  • Experience with reinforcement learning.

  • Experience with distributed computing and scalable systems.

  • Experience with DevOps and CI/CD.

  • Experience with machine learning ethics

  • Experience with generative AI applications in specific domains such as talent management, finance, risk management

  • Excellent communication and interpersonal skills.

EY | Building a better working world

EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in 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 work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.

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About EY

EY

EY

Public

A provider of assurance, tax, transaction, and advisory services.

10,001+

Employees

London

Headquarters

Reviews

3.8

15 reviews

Work Life Balance

2.5

Compensation

3.8

Culture

3.0

Career

3.5

Management

3.0

65%

Recommend to a Friend

Pros

Competitive compensation packages

Good career advancement opportunities

Strong brand recognition

Cons

Work-related stress and pressure

Limited negotiation flexibility on offers

Uncertain job security during economic downturns

Salary Ranges

31,254 data points

Mid/L4

Mid/L4 · Operations Research Analyst

1,738 reports

$142,571

total / year

Base

$136,899

Stock

-

Bonus

$5,673

$100,128

$203,912

Interview Experience

7 interviews

Difficulty

3.0

/ 5

Duration

14-28 weeks

Offer Rate

57%

Interview Process

1

Application Review

2

HR Screen

3

Hiring Manager Interview

4

Technical/Case Interview

5

Partner/Director Interview

6

Offer

Common Questions

Behavioral/STAR

Case Study

Technical Knowledge

Past Experience

Culture Fit