Appnext is the only platform to provide end-to-end discovery solutions from the initial device setup and personalization throughout daily mobile touchpoints, for a seamless user engagement experience from initial device setup to continuous engagement at any given moment.

Appnext discovery platform powers 6.5 billion daily app recommendations globally. An average user interacts with Appnext device-level app recommendations +20 times a day throughout his daily mobile journey.

Appnext is looking for an experienced Machine Learning Engineer to join our development team.

About the role:

• The role combines hands-on research, development, and maintenance of the existing models.
• Leading ML domain in the company.
• Researching, selecting and tuning ML models and algorithms.
• Working with engineers to integrate models in production.
• Working with Product and Business Development teams to find solutions to business requirements.
• Overviewing performance and tuning of running models.

Requirements:

• 5+ years of experience in developing production-grade machine learning models- mandatory.
• Experience implementing a full machine learning pipeline – data extraction, transformation, analysis, enrichment, learning, and inference.
• Experience with data science tools like (Jupyter Notebook, Pandas, scikit-learn, XGBoost, factorization machines).
• Hands-on experience with big data frameworks (preferably Spark).
• Experience with SQL.
• Strong interpersonal skills and ability to work as part of a team.

Advantages:

• Experience in the ad-tech industry.
• Experience in deep learning or neural networks.
• Experience in TensorFlow and TensorFlow Serving.
• Experience with large datasets.
• Phd or Ms degree.