AI & Machine Learning Engineer

AbbVie; Deutschland; Hybrid; EUR 60.000 - 80.000; Vollzeit

Zusammenfassung

A leading pharmaceutical company is seeking an AI & Machine Learning Engineer for their team. This role involves deploying machine learning models, developing advanced analytics, and collaborating effectively with various stakeholders. Candidates should have strong knowledge of machine learning, proficiency in Python, and experience with CI/CD pipelines. The company values work-life balance and offers flexible remote working options.

Leistungen

Work-life balance

Up to 2 days work from home

Diverse and collaborative team

Qualifikationen

• Strong understanding of machine learning concepts and deployment strategies.
• Proficiency in programming languages such as Python and relevant libraries.
• Experience with DevOps principles and version control systems.

Aufgaben

• Deploy machine learning models into production environments.
• Design and implement advanced analytics models and algorithms.
• Collaborate with data scientists for deployment pipelines.

Kenntnisse

Machine learning concepts

Python

TensorFlow

PyTorch

scikit-learn

DevOps principles

Version control (Git)

Problem-solving

Communication skills

Jobbeschreibung

Overview

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 organizations capabilities in predictive analytics automation and artificial intelligence.

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

Responsibilities

• 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

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.

Find more information about benefits at AbbVie France by clicking here : can find us at - . Follow @abbvie on LinkedIn X (ex Twitter) et YouTube.

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.

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Work :

Employment Type :

Full-time