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EY
EY

EY, previously known as Ernst & Young, is a British multinational professional services network based in London, United Kingdom

Client Technology - Engineering AI Lead Engineer

职能机器学习
级别Lead级
方式现场办公
类型全职
发布1个月前
立即申请

必备技能

Python

Docker

PyTorch

TensorFlow

Machine Learning

Role: Client Technology

  • Engineering AI Lead Engineer
    Location: Katowice / Wrocław

The opportunity

We are in search of an experienced AI engineer to lead our machine learning initiatives. This role requires expertise in developing cutting-edge AI solutions, managing projects from inception to deployment, and mentoring junior engineers.

Your key responsibilities

  • Lead the development and optimization of sophisticated machine learning models

  • Architect and implement scalable AI systems integrating various data sources

  • Oversee the setup and management of CI/CD pipelines, Docker environments, and NoSQL databases

  • Mentor and guide entry to mid-level engineers in best practices and new technologies

  • Collaborate with cross-functional teams to integrate AI solutions into business processes

  • Design experiments using advanced scientific methods and validate results rigorously

  • Lead the design, development, and deployment of AI agents powered by large language models (LLMs)

  • Oversee prompt engineering strategies and ensure optimal LLM agent performance

  • Integrate LLM-based agents into enterprise applications and workflows

  • Establish best practices for evaluating, monitoring, and improving LLM agent outputs

Skills and attributes for success

  • Advanced degree (Master’s or Ph.D.) in Computer Science, Engineering, Data Science, Mathematics, or related field (preferred)

  • Strong leadership skills with a track record of mentoring junior engineers

  • In-depth knowledge of cloud-based solutions for AI deployment and scaling

  • Experience with advanced testing strategies including A/B testing, unit tests, and integration tests

  • Published research or contributions to open-source machine learning projects

  • Demonstrated experience building and deploying LLM-powered AI agents in production environments

  • Deep understanding of prompt engineering, LLM fine-tuning, and responsible AI practices

Ideally, you’ll also

  • Demonstrated ability to set up and manage Docker images, NoSQL databases, CI/CD systems

  • Proven expertise in Retrieval Augmented Generation techniques and AI agent platforms

  • Strong proficiency in Python and deep understanding of ML frameworks like Tensor Flow, Py Torch, etc.

  • Extensive experience designing and implementing complex machine learning models and combining ML models with agentic AI frameworks

  • Expertise with advanced AI pair programming tools (e.g., GitHub Copilot, Cursor) in agent development

  • Experience architecting solutions that combine LLMs with agentic frameworks and orchestration tools

  • Familiarity with collaborative coding environments and advanced API integration for LLM agents

  • Senior analyst-level familiarity with statistics, classical statistical models, and optimization techniques

  • Knowledgeable in risk management concepts as they relate to AI and machine learning applications

What we look for

We want people who are self-starters, who can take initiative and get things done. If you can think critically and creatively to solve problems, you will excel. You should be comfortable working with culturally diverse outsourced on/offshore team members, which means you may need to work outside of normal working hours in your time zone. Some travel may also be required.

What we offer you

At EY, we’ll develop you with future-focused skills and equip you with world-class experiences. We’ll empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams.

Learn more: https://www.ey.com/en_gl/careers

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关于EY

EY

EY

Public

EY, previously known as Ernst & Young, is a British multinational professional services network based in London, United Kingdom. Along with Deloitte, KPMG and PwC, it is one of the Big Four professional services firms.

10,001+

员工数

London

总部位置

评价

2条评价

2.7

2条评价

工作生活平衡

2.0

薪酬

3.0

企业文化

2.2

职业发展

3.5

管理层

1.8

25%

推荐率

优点

Opportunity to become top performer

Handle large accounts

High responsibility roles

缺点

Long hours and intense work pressure

Poor management and leadership

Burnout issues

薪资范围

31,254个数据点

Mid/L4

Mid/L4 · Operations Research Analyst

1,738份报告

$142,571

年薪总额

基本工资

$136,899

股票

-

奖金

$5,673

$100,128

$203,912

面试评价

7条评价

难度

3.0

/ 5

时长

14-28周

录用率

57%

面试流程

1

Application Review

2

HR Screen

3

Hiring Manager Interview

4

Technical/Case Interview

5

Partner/Director Interview

6

Offer

常见问题

Behavioral/STAR

Case Study

Technical Knowledge

Past Experience

Culture Fit