Join Smadex SLU, a leading adtech innovator, as a Machine Learning Engineer to build and deploy advanced AI models that enhance personalized advertising experiences. Work remotely with a talented team to solve complex data challenges and drive business growth through intelligent algorithms.

Smadex SLU is at the forefront of AI-driven digital advertising, empowering brands to deliver hyper-personalized experiences at scale. As a Machine Learning Engineer, you will play a pivotal role in designing, developing, and implementing machine learning solutions that analyze vast datasets to predict user behavior and optimize ad campaigns.

Your responsibilities will include collaborating with data scientists and engineers to prototype new models, conducting experiments to improve accuracy and efficiency, and integrating ML pipelines into production environments. You will tackle challenges like real-time bidding optimization, fraud detection in ad traffic, and natural language processing for content analysis.

We value engineers who are passionate about AI and eager to innovate in the dynamic adtech space. With our remote-first approach, you can contribute from anywhere while enjoying the support of a global team committed to pushing technological boundaries.

• Bachelor's or Master's degree in Computer Science, Data Science, or a related field
• Proven experience in machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn
• Strong proficiency in Python and data manipulation libraries like Pandas and NumPy
• Hands-on experience with model deployment, optimization, and large-scale data processing
• Knowledge of cloud platforms (e.g., AWS, GCP) and version control systems (e.g., Git)
• Excellent problem-solving skills and ability to work in a fast-paced environment
• Familiarity with big data technologies (e.g., Spark, Hadoop) is a plus

• Competitive monthly salary with performance bonuses
• Fully remote work setup with flexible hours
• Opportunities for professional development and certifications
• Health insurance and wellness programs
• Collaborative and innovative team culture
• Access to cutting-edge tools and resources