AI & Machine Learning Engineer

AI & Machine Learning Engineer

AbbVie headquarters Europe is recruiting an AI & Machine Learning Engineer reporting to the AI & Machine Learning Engineer Lead for our BTS (Business Technical Solutions) team.

The AI Engineer will be responsible for the development, implementation and deployment operations of machine learning models and AI solutions to solve complex business problems and drive data-driven decision-making. This role involves collaborating with various stakeholders to identify machine learning opportunities and ensuring the successful deployment and maintenance of models. The AI & Machine Learning Engineer will play a critical role in advancing the organization's capabilities in predictive analytics, automation, and artificial intelligence.

The position can be based in Paris, France, Wiesbaden, Germany or Madrid, Spain.

Your main responsibilities will be:

• Model Deployment: deploy machine learning models into production environments, making them available for real-time inference and ensuring scalability and reliability.
• Model Development: Design, develop, and implement advanced analytics models, including, machine learning algorithms, and AI solutions.
• Collaboration: Collaborate with data scientists and data engineers to design and implement robust deployment pipelines for continuous improvement of machine learning models.
• Continuous Integration/Continuous Deployment (CI/CD): Implement and optimize CI/CD pipelines for machine learning models, automating testing and deployment processes.
• Monitoring and Logging: Set up monitoring and logging solutions to track model performance, system health, and anomalies, allowing for timely intervention and proactive maintenance.
• Version Control: Implement version control systems for machine learning models and Security and Compliance: Ensure that machine learning systems meet security and compliance standards, including data protection and privacy regulations.

• Documentation: Maintain clear and comprehensive documentation of ML Ops processes and configurations.

Qualifications:

• Strong understanding of machine learning concepts, algorithms, and deployment strategies.
• Proficiency in programming languages such as Python, and experience with relevant libraries and tools (e.g., TensorFlow, PyTorch, scikit-learn).
• Experience with DevOps principals and version control (Git preferred)
• Solid background in software development, version control systems (e.g., Git), and CI/CD pipelines.
• Excellent problem-solving skills and a proactive approach to addressing technical challenges.
• Strong communication skills and the ability to collaborate effectively across different teams.
• Good communication and presentation skills, being able to explain complex problems and the solutions applied, and comfortable in presenting technical solutions to a nontechnical audience.
• Strong business acumen and understanding of how analytics can drive business value.

Additional Information:

From a practical point of view and daily work life: currently located in Rungis, the headquarters of AbbVie France will be relocated to 11 Boulevard, 92100 Boulogne-Billancourt by the end of 2025. The new premises along the Seine will host the France and Europe teams, both therapeutic and aesthetic, in two newly renovated seven-story buildings within a campus of four buildings.

Each floor will be equipped with meeting rooms and relaxation areas to promote collaboration and informal exchanges. The premises will also have outdoor spaces, including a green inner courtyard and a private rooftop with a view of the Seine, exclusively for AbbVie employees.

Numerous services will be offered on-site: car and motorcycle parking with electric charging stations, bicycle storage, company restaurant, gym, and concierge service.

Located in a dynamic and lively district with many amenities, our future offices will be easily accessible by public transports with subway line 9, RER C, and buses 126, 189 and 289 stations nearby.

Since 2015, AbbVie has been recognized as a Great Place to Work. We are in the top 5 companies where it is good to work. We are also one of the few companies to be awarded the "Best Workplace for Women" award, which recognizes the ability of companies to take into account major societal issues such as gender equality.

At AbbVie, we value work-life balance. We offer the possibility to work from home up to 2 days a week, according to the modalities defined in our collective agreement. Join us to be part of a diverse and collaborative team.

AbbVie is an equal opportunity employer and is committed to operating with integrity, driving innovation, transforming lives and serving our community. Equal Opportunity Employer/Veterans/Disabled.