Line of Service

Industry/Sector

Specialism

Management Level

Job Description & Summary

Pwc Luxembourg is hiring an AI/ML Azure Engineer (m/f/d). What if it was you? 

Who we are: We are the largest professional services firm in Luxembourg, providing audit, tax and advisory services including management consulting, transaction, financing and regulatory advice to a wide variety of clients. To make it happen, we count on the expertise of over 3,700 people from more than 94 different countries, who strive every day to reach excellence and team up to solve important problems through innovative solutions. We value diverse and singular career paths, embrace everyone's unique self and encourage our People to fuel their potential in a work environment that is inclusive, stimulating, and motivating. 

Your mission: As an AI Azure Engineer, you will play a crucial role in shaping the technical direction of our AI and machine learning projects, driving innovation, and ensuring the successful implementation of AI solutions within a cloud-based or on-prem environment. You will be part of a talented team of developers, collaborate with cross-functional teams, and contribute to the overall architecture and strategy of our technology landscape. 
 

Be a part of our team where you will:  

• Work with Data, algorithms, models, platforms to ensure the models are operating correctly, efficiently and at scale.
• Work closely with the other Data and IT profiles to ensure project outcome usability and product durability.
• Follow PwC IT, PM and Data Governance best-practices and guidelines as well as meet design requirements and project timeline.
• You will be responsible for creating prototypes to validating proposed ideas and solicit input from stakeholders, running test-driven development and continuous integration processes, support and troubleshooting.
• You will part of a team for designing and building AI-based solutions.
• Port new machine learning algorithms and models onto data science platforms.
• Develop end-to-end ML pipelines, including data preprocessing, model training, evaluation, and deployment.
• Integrate machine learning solutions with existing business applications and systems.
• Produce high quality automated work, with excellent reliability and scalability.
• Act as senior technical person to develop process and metrics to monitor model performance.
• Collaborate in cross-functional teams to prototype new concepts and deliver end-to-end systems.
• Explore novel architectural solutions and communicate ideas clearly.
• Prepare visualizations of data & systems to explain and persuade.
• Communicate results to stakeholders across the business.
• Work closely with the Tax line of service to identify issues and use data to propose solutions for effective decision making.
• Maintain clear and coherent communication, both verbal and written.

Let’s talk about you. If you … 

• Hold a Bachelor’s degree or several years of experience in computer science, data science, software development, or another related field; a master’s degree is recommended
• Have proven experience (2-3+ years) as a Machine Learning Engineer, with a focus on Azure ML services.
• Show solid understanding of common programming languages used in AI, such as Python, Scala or C#.
• Have experience with AI-based solutions and Generative AI technologies.
• Have experience with Azure(preferred), GCP, AWS or other Open-Source models.
• Have experience working with large data sets and writing efficient code capable of processing large data streams at speed.
• Are familiar with DevOps principles including code repository, code management, CI/CD.
• Have a good understanding of software architecture patterns & application development.
• Show excellent problem-solving skills and the ability to work independently and as part of a team.
• Have strong communication skills, with the ability to explain complex concepts to non-technical stakeholders.

…You are the candidate we are looking for! 

A final word about us:  

At PwC, we believe diversity is the representation of all the characteristics that make us both alike and unique. Our backgrounds, cultures, nationalities, lifestyles, identities, opinions and beliefs, approaches to solving problems, ways of working, and views of personal and professional success, all add value to the services we deliver to our clients. Our objective is to nurture an inclusive environment where a diversity mindset is ingrained, and inclusion is the norm. We constantly focus on respecting and valuing individual differences. 

Ready to grow your potential, reaching excellence together? Apply now!  

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