Responsibilities:
- Design and develop algorithmic solutions and models for mission-critical problems, delivering high-accuracy and performance in data extraction
- Contribute in all phases of the Product DevelopmentLifecycle
- Creating efficient solutions and methodologies to address problems related to Real Time Bidding (RTB) such as bid optimization, publisher quality, and audience expansion
- Optimize implementations for maximum speed,performance and scalability
Requirements:
- Excellent programming skills - (at least one of)Python/Java
- Experience with ML tools and libraries such as PySpark, Vowpal Wabbit, Scikit-learn, R, Spark, TensorFlow
- Strong background in learning algorithms (multi-class, classifications, decision trees, support vector machines and deep learning)
- Experience with Unix/Linux
- A willingness to dive deep, experiment rapidly and get things done
- BE/BTech/MTech or a related technical discipline from reputed universities
- Attention to detail, data accuracy, and quality of output
- Being passionate about creating great products and experiences for our customers
- Strong analytical skills are necessary as the work involves projecting outcomes and isolating issues that need to be resolved to make programs more effective
- 3+ years of experience applying machine learning andNLP to solving real-world problems
- High levels of creativity and quick problem-solving capabilities, a self-starter with goal-driven focus
- Preferred background from the ad-tech industry
What do we offer?
- An opportunity to work for mobile advertising companies in the Ad Tech space
- You get valuable insights into mobile marketing, entrepreneurship and have a high impact on shaping the expansion and success of Kayzen across the globe.
- You get an opportunity to be responsible for and manage your own projects
- You work directly with decision makers and have an impact in the organization
- You experience an excellent learning culture
- You are part of a fun, international team of outstanding talents
- You enjoy a competitive remuneration package and much more!
Interested? Write to us at talent(@)kayzen.io
