MachineLearning Engineer

Need an expert Data background ML engineer who has the following skills - Python3+, Spark3+, DataBricks, ReactJS, MLib, Sphinx. We have a performance requirement of processing 3Million records in 1 min or under so only who have work experience in high scalable enterprise projects, please apply.

Else please dont waste time.


Skill Set :

Candidate with 7+ years of experience in a Data Domain and specialization in Architectures for at least 4 years in big data, and data science related technologies
Experience in python with spark along with MLib , PySpark, Sphinx is a must and exposure on Databricks and react will be preferred.
Handson experience building models - both supervised and unsupervised learning.
Experience with distributed computing systems (AWS, Hadoop, Azure, Google Cloud)
Multiple years of experience deploying ML and statistical models into real-world applications - supervises, unsupervised and reinforcement.
Handson experience with other ML tools like Caffe, pyTorch, TensorFlow, scikit-learn, nltk etc
Design, Architect, and maintain large Enterprise solutions on the AI/ Ml platform, monitor and provide transparency into data quality across systems (accuracy, consistency, completeness, etc) and optimize as needed
Design, implement and maintain high performance big data infrastructure/systems, big data processing pipelines scaling to billions of structured and unstructured events daily.
Support product with the overall roadmap and ensure updates to senior leadership are 100% technically correct
About the recuiter
Member since May 20, 2018
Abhishek
from New York, United States

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Offer to work on this project closes in 93 days!
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