AI & Machine Learning Engineer

AbbVie Inc; Madrid; Presencial; EUR 45.000 - 70.000; Jornada completa

Descripción de la vacante

A global biopharmaceutical company is seeking an AI & Machine Learning Engineer in Madrid to develop and deploy machine learning models. This role involves collaboration with stakeholders to enhance data-driven decisions in a dynamic environment. Candidates should have strong machine learning skills, experience with Python and relevant tools, and a background in DevOps principles. This position promises a vibrant workspace and competitive offerings.

Servicios

Great workplace environment

Recognition for gender equality in the workplace

Formación

• Strong understanding of machine learning concepts and deployment strategies.
• Proficiency in programming languages like Python.
• Experience with CI / CD pipelines.

Responsabilidades

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

Conocimientos

Machine Learning concepts

Python programming

TensorFlow

DevOps principles

Problem-solving

Collaboration skills

Communication skills

Herramientas

PyTorch

Git

Descripción del empleo

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.

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
• 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