トレンド企業

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

職種機械学習
経験リード級
勤務オンサイト
雇用正社員
掲載1ヶ月前
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必須スキル

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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EYについて

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+

従業員数

London

本社所在地

レビュー

2件のレビュー

2.7

2件のレビュー

ワークライフバランス

2.0

報酬

3.0

企業文化

2.2

キャリア

3.5

経営陣

1.8

25%

知人への推奨率

良い点

Opportunity to become top performer

Handle large accounts

High responsibility roles

改善点

Long hours and intense work pressure

Poor management and leadership

Burnout issues

給与レンジ

31,254件のデータ

Mid/L4

Mid/L4 · Operations Research Analyst

1,738件のレポート

$142,571

年収総額

基本給

$136,899

ストック

-

ボーナス

$5,673

$100,128

$203,912

面接レビュー

レビュー7件

難易度

3.0

/ 5

期間

14-28週間

内定率

57%

面接プロセス

1

Application Review

2

HR Screen

3

Hiring Manager Interview

4

Technical/Case Interview

5

Partner/Director Interview

6

Offer

よくある質問

Behavioral/STAR

Case Study

Technical Knowledge

Past Experience

Culture Fit