Consultant/Senior Consultant - GenAI Engineer | Lisboa

Ernst & Young Advisory Services Sdn Bhd; Lisboa; Presencial; EUR 30 000 - 40 000; Tempo integral

Resumo da oferta

A global professional services firm is seeking a Consultant/Senior Consultant – Generative AI Engineer in Lisbon. The successful candidate will develop AI solutions, collaborate with clients across various industries, and design scalable AI pipelines. Ideal candidates will have a background in AI/ML, proven experience with Azure technologies, and strong communication skills. This role offers competitive compensation and a supportive work environment.

Serviços

Competitive remuneration package

Diversity and inclusion initiatives

Qualificações

• 2+ years of proven experience in designing and delivering AI/ML solutions.
• Comprehensive understanding of LLM workflows and lifecycle management.
• Proficiency in programming languages such as Python.

Responsabilidades

• Develop PoC using Pre-trained Foundation Models.
• Collaborate with clients to rapidly develop AI solutions.
• Design AI pipelines and ensure scalability and reliability.

Conhecimentos

Experience in AI/ML solutions

Knowledge of Azure technologies

NLP and text analytics

Strong communication skills

Ability to work independently and as part of a team

Formação académica

Bachelor's or MS in Computer Science/Engineering/Informatics/Statistics/Data Science

Ferramentas

Visual Studio Code

Azure Data Lake

Azure AI Services

Descrição da oferta de emprego

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture, and technology to become the best version of you.

The opportunity
EY is looking for a confident Consultant/Senior Consultant – Generative AI Engineer. You will be focusing on architecting and delivering solutions, working with a wide variety of clients and industries.

Your key responsibilities

• Develop PoC using Pre-trained Foundation Models and assisting stakeholders with analysis and implementation.
• Apply prompt-engineering techniques to specific use cases and model types.
• Collaborate with clients to rapidly develop AI solutions using Azure AI.
• Apply Foundation Models to propose and validate hypotheses for business queries.
• Display a growth mindset and genuine curiosity to understand clients' business processes and challenges, employing statistical analysis skills to identify transformation opportunities.
• Design, implement, and productize AI pipelines with best practices and tools for seamless data handling, preprocessing, prompt design and engineering, deployment, and monitoring.
• Architect end-to-end LLMOps solutions using cloud technologies, automation, and orchestration tools. Ensuring scalability, reproducibility, and reliability of AI/ML solutions.
• Develop Generative AI solutions and prompt management frameworks using cutting-edge methods to generate diverse and high-quality insights.
• Contribute to AI governance and ethics practices, addressing data privacy, model explainability, bias mitigation, and human-in-the-loop evaluation.
• Participate in large-scale client engagements. Foster relationships with client personnel at appropriate levels. Consistently deliver quality client services. Drive high-quality work products within expected timeframes and on budget.

Skills and attributes for success

• 2+ years of proven experience in designing and delivering AI/ML solutions.
• Experience in natural language processing (NLP) and text analytics is highly desirable.
• Knowledge of cloud technologies, specifically Azure, and expertise in leveraging them for large-scale AI workloads.
• Ability to identify fundamental problems from real-world cloud use-cases and design, build, and validate successful AI solutions.
• Capability to demonstrate and evaluate AI solutions via experimental methods, particularly through hands-on creation of prototypes.
• Track record of being part of highly collaborative teams to tackle important problems producing high-impact solutions.
• Solution architecture and design experience, translating business requirements into technical specifications, and developing scalable and robust AI solutions.
• Business acumen, including the ability to understand customer needs and business objectives.
• Commitment to continuous learning and staying updated with advancements in the field of AI.
• Excellent interpersonal and communication skills.
• Ability to deliver work independently as well as with a team.
• Effective communication skills and collaboration abilities.
• Excellent command of the English language, both verbal and written.

To qualify for the role, you must have

• Bachelor's degree or MS degree in Computer Science, Engineering, Informatics, Statistics, Data Science.
• Comprehensive understanding and hands-on experience with LLM workflows, LLM lifecycle management frameworks, and tools like ML-PromptFlow.
• Proficiency in using Visual Studio Code.
• Proven experience with relevant cloud technologies, ideally MS Azure or AWS, GCP.
• Knowledge and proficiency in Azure AI Services including Azure AI Search.
• Experience building AI products using LLMs, embeddings or other natural language technologies particularly leveraging Vector Search.
• Strong understanding of key concepts in Foundation Models literature and expertise in building and deploying them for real-world examples.
• Experience with ML and deep learning.
• Experience leveraging a variety of services to act as data sources such as Azure Data Lake, Azure Synapse Analytics, Azure SQL, etc.
• Strong communication skills, demonstrating an ability to work effectively with clients.
• Experience with or knowledge of Agile Software Development methodologies.
• Proficiency in programming languages such as Python, or other commonly used languages in AI/ML development.

Ideally, you’ll also have

• MS Certification: Azure AI Engineer or Azure Data Scientist Associate.
• Hands-on experience of open-source framework like LangChain.

What we look for
An effective communicator and you’ll be a confident team player equipped with strong people management skills; Creative, proactive, a team player, and able to work under pressure.

What we offer
We offer a competitive remuneration package where you’ll be rewarded for your individual and team performance.

EY’s commitment to diversity and inclusion
EY is committed to providing recruitment and career opportunities to all, regardless of gender, sexual orientation, social background, or disability.