Senior Machine Learning Engineer
Red Cell Partners- Full Time
- Senior (5 to 8 years)
Candidates should possess a Master's degree in Computer Science, Statistics, or a related field, and have at least 7 years of experience in developing and deploying machine learning models, particularly in the field of advertising or a related domain. Strong programming skills in Python and experience with deep learning frameworks such as TensorFlow or PyTorch are essential, along with a solid understanding of statistical modeling and data analysis techniques.
As a Senior Machine Learning Engineer, you will be responsible for designing, developing, and deploying machine learning models for our Deep Learning Advertising Platform. This includes conducting research, experimenting with different algorithms, and optimizing model performance. You will also collaborate with cross-functional teams to integrate models into our platform and provide ongoing maintenance and support, while contributing to the development of innovative AI-driven advertising solutions.
AI-driven digital advertising optimization platform
Cognitiv.ai uses deep learning technology to improve digital advertising for businesses through its platform, NeuralMind™, which trains neural networks on client data. This technology enables companies to create custom algorithms for ad buying that enhance audience targeting and marketing effectiveness without requiring data scientists. Unlike its competitors, Cognitiv focuses on automating ad buying and providing actionable insights to help businesses identify new consumer segments. The company's goal is to help clients maximize their return on investment in digital advertising by leveraging their first-party data.