AI Lead Engineer - Client Technology
Wrocław, Dolnośląskie, Polska, 50-086
Основні характеристики вакансії
Сервер: Java / .NET / Node / Python
DevOps / Хмара: AWS, Azure, Docker, Kubernetes
Чудово підходить для юніорського старту
Працевлаштування: трудовий договір
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.
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
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
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 TensorFlow, PyTorch, 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
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.
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
What we look for
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.
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
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
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 TensorFlow, PyTorch, 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
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.
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
Ideally, you’ll also
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.
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
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
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 TensorFlow, PyTorch, 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
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.
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
Ми пропонуємо
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.
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
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
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 TensorFlow, PyTorch, 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
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.
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
Вимоги
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.
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
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
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 TensorFlow, PyTorch, 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
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.
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
Zakres obowiązków
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.
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
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
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 TensorFlow, PyTorch, 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
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.
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
Role: Client Technology - AI Lead EngineerLocation: Katowice / Wrocław
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.
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
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
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 TensorFlow, PyTorch, 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
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.
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