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Machine Learning Ops Engineer 
(Job)

resume-library  |  United States  |  

Ref:
PARTNER-3XL5ST
Direct:
Employer:
Location:
United StatesUnited States (US)
Category:
Manufacturing/Machine
Work Type:
Permanent
Work Time:
Full Time
Tags:
job,united-states,resume-library

Description 

Machine Learning Ops Engineer

Machine Learning Ops Engineer Remote long term contract



JSR is looking for a Senior Machine Learning Ops Engineer for a long-term contract with our direct Financial Client located in NJ. This is a remote position. The right person will be a seasoned FULL STACK ENGINEER with deep understanding of data science and software engineering practices.



This team will data services to our customers, stakeholders, and partners. You will work hand and hand with the Data Science Team and various business units to develop the infrastructure enabling data-driven decision in a cost effective and scalable manner.



Must have experience with computer science fundamentals such as algorithms, data structures, multithreading, object-oriented development, distributed applications, client-server architecture.



Design and implement Machine learning models and data ingestion pipelines.



Develop and support a platform that enables data scientists to rapidly develop, train, and experiment with machine learning models.



Expand and optimize data pipelines, data flow, and collection for cross functional teams.



Create and maintain optimal data pipeline architecture



Assemble large, complex data sets to meet functional and non-functional business requirements.



Identify and implement internal process improvements including automating manual processes, optimizing data delivery, and redesigning infrastructure for greater scalability.



Support the building of machine learning, data platforms, and infrastructure required for optimal data extraction, transformations, and loading of data from a wide variety of data sources.



Work with architecture, data, and design teams to assist with data related technical issues and support data infrastructure needs.



Implement Machine Learning (Client) and Big Data platforms in Hybrid and multi-cloud environment specifically in AWS SageMaker environment



Experience in container, streaming and messaging technologies is a plus



Advanced proficiency with Python framework, Java and Scala



Extensive knowledge of Client frameworks, libraries, data structures, data modeling, and software architecture.



Good understanding of mathematics, statistics, and algorithms.



Excellent analytical and problem-solving abilities.



Great communication and collaboration skills.