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Machine Learning Engineer at WorkFusion

About us

At WorkFusion, were building software products that are changing the world and transforming the workplace, for the better. Our technology automates data intensive repetitive work so people can be freed from the mundane to pursue the meaningful, while companies can grow further and customers can be served faster and better.

WorkFusion is widely recognized as the world leader in intelligent process automation with its Intelligent Automation Cloud which combines RPA, machine learning and work analytics in one unrivaled platform that is easy to deploy and unlimited to scale. We compete in the fastest growing segment in software and are growing at record pace with customers spanning the globe. Our headquarters are in New York City (on Wall Street) with operations all over the world.

Our teams are dedicated to building and marketing AI-powered software for all business types, ranging from high growth startups to large enterprises with particular focus on banking, insurance, healthcare, retail, consumer products, energy, high-tech and transportation.


WorkFusion is seeking a Machine Learning Engineer to join our team in India. The position will involve applying practical skills to create hybrid machine learning and rule-based models using our innovative tools for solving real-world problems. You will collaborate with our customers and build production machine learning models for their needs.

Key responsibilities

Implement and successfully deliver projects

Develop custom components for existing ML algorithms

Solve architecture tasks during use-cases implementation including troubleshooting

Develop processing patterns for data

Work closely with delivery team (Data Analysts, Delivery Managers, RPA developers)

Communicate and provide technical consulting service to our customers as required

Work on the best practices for delivery


Strong background in data structures and algorithms

Good background in machine learning concepts

3-5 years of Java experience, hands-on programming skills

Solid understanding of design patterns and OOP

Knowledge on SQL, regex, HTTP, REST, JSON, XML is must

Hands on Maven, Git, JUnit, InteliJ IDEA/Eclipse

Good communication skills

Should be open for work related travels


Would be a plus

Hands-on experience with rule-based models

Knowledge of statistics and probability theory is a plus

Standford NLP, Apache UIMA, Tableau, TensorFlow, Python, JavaScript, Linux

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