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WorkFusion // robotic automation software
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About us
At WorkFusion, we build software that is changing the world & transforming workplaces. Our technology automates repetitive, data-intensive work so people can be freed from the mundane to pursue the meaningful, companies can grow further, & customers can be served faster & better. 
 
WorkFusion is increasingly recognized as the world leader in industry-specific process automation, offering AI-powered software with particular focus on the needs of banking, financial services, & insurance enterprises. Our Intelligent Automation Cloud combines RPA, machine learning & analytics in one unrivaled platform that can be deployed quickly & scale without limit. We compete in the world's fastest-growing software segment & we are growing at record pace with customers spanning the globe. 
 
As the health & safety of our teams is always a primary concern, we are currently a primarily remote workforce worldwide. Officially, our headquarters is in New York City (on Wall Street) with additional hubs in Canada, Europe & Asia.

Position
WorkFusion is seeking a Java Engineer to join our Core Machine Learning team in New York. The position will involve applying practical skills to build & maintain business process & machine learning platform.  In addition, using our innovative tools for solving real-world problems. Collaborating with data-science, engineering, & customers, you will apply practical skills to create hybrid machine learning & rule-based models.
 
Key responsibilities
       Develop reusable machine learning components for the delivery team
       Solve difficult architecture & machine learning tasks that coming from the customers
       Take part in the project delivery onsite
       Take part in the forming backlog & features prioritization for the product team
       Work on the best practices for delivery
 
Qualifications/Experience
       3-5 years of production Java/JEE experience
       Proficiency in algorithms, data structures & computer science fundamentals
       Deep knowledge of statistics & probability theory
       Good knowledge in Regex (regular expressions)
       Unit test frameworks, Junit4 & good debugging skills.
       Good understanding of RESTful web services.
       Hands on Maven: Scoping, Versioning, multi-module builds & dependency management is must.
       Solid understanding of Java design patterns & OOP
       Strong working knowledge of Databases & SQL.
       Proficient DevOps Skills & mind-set
       Working experience of GiT/SVN version control repositories
 
Nice to Have
       Hands-on experience with rule-based models
       Hands-on programmer with active development skills in a production machine learning or data-science environment
       Working familiarity & understanding of tools & libraries such as: Weka, Stanford NLP, Apache UIMA, Apache Mahout, NLP, Tableau, Deep Learning, Tensor Flow, Pytorch, Caffe 
 
 
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