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• EAD (OPT/CPT/GC/H4)

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• Corp-Corp

• Consulting/Contract

• UG :- - Not Required

• PG :- - Not Required

• No of position :- ( 1 )

• Post :- 11th Oct 2021

Bigdata Technologies (Hive/Spark) 
Machine Learning Models
Program languages   
Program skills
        
Machine Learning Framework
  
Spark ML
Cloud Technology 
 
● Work closely with Machine Learning Engineers and Data Scientists to understand, refine, and prioritize requirements
● Design and build our model serving service with simple, powerful APIs to capture our users/clients needs
● Build our core ML model lifecycle management system to provide an ML-aware release and deployment experience
● Improve machine learning data quality by using & building tools to automatically detect issues
● Create intelligent ML-aware real-time monitoring & observability systems
● Work closely with partner teams to integrate with other ML tools to create a seamless end-to-end experience
● Leverage open source technologies like Kubeflow, Kubernetes, Spark, Docker, Airflow, Tensorflow and PyTorch
 
We are looking for engineers with:
● 5+ years of industry experience or a PhD + 2 years industry experience in applied machine learning.
● Strong coding skills in Python/Java/Scala or equivalent
● Experience with distributed data processing tools like Hive, Spark, Airflow and popular ML frameworks like Tensor flow or Pytorch is preferred
● Solid understanding of engineering best practices and complexities of models in production
● Experience developing and productionizing machine learning models is a plus
● Experience with Docker, Kubernetes, Spark is a plus
● Experience with distributed data processing tools like Hive, Spark, Airflow is a plus
● Industry experience building end-to-end Machine Learning Infrastructure a big plus