Machine Learning Engineer


Job Description

Key responsibilities

  • Design and delivery end to end machine learning solutions
  • Study and transform data science prototypes
  • Perform statistical analysis and fine-tuning using test results
  • Train and retrain systems when necessary
  • Integrate RPA and Machine Learning solutions into client s pipeline
  • Work on the best practices for delivery


  • 3-5 years of production Java/JEE experience
  • Solid understanding of design patterns and OOP
  • Working knowledge of Databases and SQL
  • Good understanding of RESTful web services
  • Ability to write robust code
  • Good knowledge of math, probability, statistics and algorithms
  • Experience working in an Agile environment
  • Ability to work in a team
  • Attention to detail
  • Outstanding analytical and problem-solving skills

Would be a plus

  • Hands-on experience with Python stack
  • Familiarity with machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn)
  • Proficient DevOps Skills and mind-set
  • Hands on Maven, Git, Jenkins, Postman, linux bash
  • HTML and JavaScript basics

Key Skills

Maven; Automation; GIT; Linux; Machine learning; Javascript; Agile; HTML; SQL; Python

About Company

What if software could learn to identify high-quality work and manage the people who perform itWorkFusion was born out of research that co-founders Max Yankelevich and Andrew Volkov sponsored at MITs Computer Science and Artificial Intelligence Lab (CSAIL)WorkFusion creates technology that makes economies work. The rapid rise of AI and automation, along with the changing roles of people in the workforce, have created both complexity and opportunity for individuals, businesses and entire countries. Our companys purpose is to reduce this complexity and help our customers exploit the opportunity through products that pair people with intelligent software robots.

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