AI & Machine Learning Engineer

Allergan Aesthetics; Wiesbaden; Hybrid; EUR 60.000 - 80.000; Vollzeit

Zusammenfassung

A leading pharmaceutical company in Wiesbaden is seeking an experienced AI & Machine Learning Engineer. In this role, you will be responsible for developing and deploying machine learning models to solve complex business challenges. The ideal candidate will have a strong understanding of machine learning concepts, proficiency in Python, and experience with tools like TensorFlow and Git. This position offers the opportunity to work in a collaborative environment with flexible work-from-home options.

Leistungen

Work-from-home options

Great work-life balance

Recognition for diversity and inclusion

Qualifikationen

• Strong understanding of machine learning concepts, algorithms, and deployment strategies.
• Experience with relevant libraries and tools, such as TensorFlow and PyTorch.
• Solid background in software development and CI/CD pipelines.

Aufgaben

• Deploy machine learning models into production environments for real-time inference.
• Design, develop, and implement advanced analytics models and AI solutions.
• Collaborate with data scientists and engineers on deployment pipelines.

Kenntnisse

Machine learning concepts and algorithms

Python programming

DevOps principles

Problem-solving skills

Communication skills

Business acumen

Tools

TensorFlow

PyTorch

scikit-learn

Git

Jobbeschreibung

Overview

AbbVie\'s mission is to discover and provide innovative therapies and solutions that address today\'s serious diseases and meet the medical challenges of tomorrow. We strive to make a remarkable impact on patients\' lives in several key therapeutic areas: immunology, ophthalmology, oncology, neuroscience, and virology, as well as in aesthetic medicine with products and services from our Allergan Aesthetics portfolio.

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 principles 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: https://www.abbvie.fr/rejoindre-abbvie/la-vie-chez-abbvie/avantages.html

You can find us at www.abbvie.com - www.abbvie.fr. Follow AbbVie on LinkedIn, X (ex Twitter) and 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.

US & Puerto Rico only - to learn more, visit https://www.abbvie.com/join-us/equal-employment-opportunity-employer.html

US & Puerto Rico applicants seeking a reasonable accommodation, click here to learn more: https://www.abbvie.com/join-us/reasonable-accommodations.html