ML Engineer

About The Role

Full Stack Client acumen to conceptualize design and implement stateoftheart Client models for dynamic pricing strategies and personalized product recommendations

Develop implement and deploy machine learning models that leverage our unique combination of user behavior and subscription data to improve consumer value

Engineer and maintain largescale consumer behavioral feature stores while ensuring scalability and performance

Develop and maintain data pipelines and infrastructure to support efficient and scalable Client model development and deployment

Collaborate with crossfunctional teams Marketing Product Sales to ensure your solutions align with strategic objectives and deliver realworld impact

Create algorithms for optimizing consumer journeys and increasing conversion and monetization

Design analyze and troubleshoot controlled experiments Causal AB tests Multivariate tests to validate your solutions and measure their effectiveness

Agile development mindset appreciating the benefit of constant iteration and improvement

Focus on business practicality and the 8020 rule very high bar for output quality but recognize the business benefit of having something now vs perfection sometime in the future

About You

Masters Degree PhD in Machine Learning Statistics Data Science or related quantitative fields preferred

3 to 5 years of experience in one or more of the following areas machine learning including deep learning recommendation systems pattern recognition data mining or artificial intelligence

Proficiency in using casual inference uplift modeling splines support vector machines lookalike modeling model stacking ensembles embeddingbased modeling etc

Proficient in Python SQL intermediate data engineering skill set with tools libraries or frameworks such as PySpark Hadoop Hive and Big Data technologies scikitlearn pandas numpy PyTorch etc

Experience with various Client techniques and frameworks eg data discretization normalization sampling linear regression decision trees deep neural networks etc

Experience in building industrystandard recommender systems and pricing models

Experience in MLOps Client Engineering and Solution Design

Its Great But Not Required If You Also Have

Experience working in a consumer or B2C space for a SaaS productsoftware provider

Experience in developing recommendation systems and deep learningbased models

Excel in solving ambiguous and complex problems being able to navigate through uncertain situations breaking down complex challenges into manageable components and developing innovative solutions