Position Overview
We are seeking an ML Engineer to play a pivotal role in shaping the future of our consumer journey through cutting edge Machine Learning solutions for pricing and recommendations. In this role you will help drive personalized experiences for customers as a ML Engineer monitoring pipelines batch and ondemand job types to improve Pricing Recommendations.
Key Responsibilities
- ML acumen to conceptualize design and implement stateoftheart ML models for dynamic pricing strategies and personalized product recommendations
- Strong grasp of understanding difference between data pipelines and ML pipelines
- Develop implement and deploy machine learning models that leverage our unique combination of user behavior and subscription data to improve consumer value from our products
- 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 ML 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
Required Qualification
- Bachelors degree in Computer Science or related fields Master or PhD in Machine Learning Statistics Data Science or related quantitative fields preferred
- 5 years of experience in one or more of the following areas machine learning engineering including deep learning recommendation systems pattern recognition data mining or artificial intelligence.
- Proficient in Python SQL intermediate data engineering skill set with tools libraries or frameworks such as MapReduce Hadoop Spark Hive and Big Data technologies scikitlearn Keras TensorFlow PyTorch PySpark etc.
- Experience with various ML 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 ML Engineering and Solution Design
- Experience in Databricks is preferred
- Experience working in a consumer or B2C space for a SaaS productsoftware provider. (Preferred)
- Experience in developing recommendation systems and deep learningbased models. (Preferred)