AI/ML Azure Engineer (m/f/d)

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.