
EY, previously known as Ernst & Young, is a British multinational professional services network based in London, United Kingdom
Client Technology - Engineering AI Lead Engineer
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
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Lead the development and optimization of sophisticated machine learning models
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Architect and implement scalable AI systems integrating various data sources
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Oversee the setup and management of CI/CD pipelines, Docker environments, and NoSQL databases
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Mentor and guide entry to mid-level engineers in best practices and new technologies
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Collaborate with cross-functional teams to integrate AI solutions into business processes
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Design experiments using advanced scientific methods and validate results rigorously
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Lead the design, development, and deployment of AI agents powered by large language models (LLMs)
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Oversee prompt engineering strategies and ensure optimal LLM agent performance
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Integrate LLM-based agents into enterprise applications and workflows
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Establish best practices for evaluating, monitoring, and improving LLM agent outputs
Skills and attributes for success
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Advanced degree (Master’s or Ph.D.) in Computer Science, Engineering, Data Science, Mathematics, or related field (preferred)
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Strong leadership skills with a track record of mentoring junior engineers
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In-depth knowledge of cloud-based solutions for AI deployment and scaling
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Experience with advanced testing strategies including A/B testing, unit tests, and integration tests
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Published research or contributions to open-source machine learning projects
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Demonstrated experience building and deploying LLM-powered AI agents in production environments
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Deep understanding of prompt engineering, LLM fine-tuning, and responsible AI practices
Ideally, you’ll also
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Demonstrated ability to set up and manage Docker images, NoSQL databases, CI/CD systems
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Proven expertise in Retrieval Augmented Generation techniques and AI agent platforms
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Strong proficiency in Python and deep understanding of ML frameworks like Tensor Flow, Py Torch, etc.
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Extensive experience designing and implementing complex machine learning models and combining ML models with agentic AI frameworks
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Expertise with advanced AI pair programming tools (e.g., GitHub Copilot, Cursor) in agent development
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Experience architecting solutions that combine LLMs with agentic frameworks and orchestration tools
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Familiarity with collaborative coding environments and advanced API integration for LLM agents
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Senior analyst-level familiarity with statistics, classical statistical models, and optimization techniques
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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
PublicEY, 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
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