Job Description :
Enable end-to-end model deployment. Understand all stages of model development from data QA and feature generation to productionizing of the model in Big Data environment.
Bring the expertise in cutting-edge machine learning algorithms and model development infrastructure, tools and technologies suited for Big data. Guide internal teams in building deployable and scalable machine learning models.
Build out the data pipelines and model deployment infrastructure needed to productionize machine learning models developed to power in-App features as well as drive decisions across growth, marketing, finance, marketplace operations, and community service.
Lead collaboration with Analytics, Data Science and all business teams and help deliver Machine learning based Data products across the company.
Desired Skills
5+ years of overall server infrastructure development experience with 2 years of experience in designing and building APIs for machine learning model deployment in mobile applications.
Experience with Spark (SparkML, Spark Streaming, SparkSQL, Py-Spark, SparkR, etc
Experience with one or more general purpose programming languages including but not limited to: Java, C/C++ or Python.
Experience with distributed Big Data technologies (Hadoop, HBase, Cassandra, Kafka, Storm, Elasticsearch
An excellent understanding of both traditional statistical modeling and Machine Learning techniques and algorithms.
Deep interest in learning both the theoretical and practical aspects of working with and deriving insights from data.
Understanding of distributed systems and large-scale engineering challenges is plus.

Client : posh