AI & Machine Learning Engineer at AbbVie
Wiesbaden, , Germany -
Full Time


Start Date

Immediate

Expiry Date

05 Dec, 25

Salary

0.0

Posted On

06 Sep, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Business Value, Algorithms, Analytics, Programming Languages, Python, Version Control, X, Software Development, It, Communication Skills, Presentation Skills, Linkedin, Gender Equality, Git, Business Acumen

Industry

Information Technology/IT

Description

Company Description
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.
For more information about AbbVie: www.abbvie.com - www.abbvie.fr. Follow @abbvie on LinkedIn, X (ex Twitter) et YouTube.
Job Description
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.

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: 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) 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.
    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.htm
Responsibilities

Please refer the Job description for details

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