Zycus is a pioneer in Cognitive Procurement software and has been a trusted partner of choice for large global enterprises for two decades. Zycus has been consistently recognized by Gartner, Forrester, and other analysts for its Source to Pay integrated suite. Zycus powers its S2P software with the revolutionary Merlin AI Suite. Merlin AI takes over the tactical tasks and empowers procurement and AP officers to focus on strategic projects; offers data-driven actionable insights for quicker and smarter decisions, and its conversational AI offers a B2C type user-experience to the end-users.

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Zycus Cognitive Procurement Recruitment For Machine Learning Engineer (SOF02696) Software Engineering



Zycus helps enterprises drive real savings, reduce risks, and boost compliance, and its seamless, intuitive, and easy-to-use user interface ensures high adoption and value across the organization.

Start your #CognitiveProcurement journey with us, as you are #MeantforMore

Job Description

We are looking for Machine Learning Engineers with a strong background in Analytics, Data mining & Machine Learning. Experience in Natural Language Processing and Image Processing is a plus.

Machine Learning Engineer will report to Director Engineering - Machine Learning & the roles & responsibilities are as below:
  • Work as the data strategist, identifying and integrating new datasets that can be leveraged through our product capabilities and work closely with the engineering team to strategize and execute the development of data products
  • Communicate analytic solutions to stakeholders and implement improvements as needed to operational systems consulting with managers to determine and refine machine learning objectives.
  • Designing and devloping machine learning systems and self-running artificial intelligence (AI) software to automate predictive models.
  • Transforming data science prototypes and applying appropriate ML algorithms and tools.
  • Solving complex problems with multi-layered data sets, as well as optimizing existing machine learning libraries and frameworks.
  • Developing ML algorithms to analyze huge volumes of historical data to make predictions.
  • Running tests, performing statistical analysis, and interpreting test results. Documenting machine learning processes.
  • Keeping abreast of developments in machine learning.

Job Requirement

  • Bachelor, Master’s or Ph.D. in Statistics, Mathematics, or Computer Science
  • Graduate/Post Graduate from Tier I institutes
  • Experience using python/R etc.
  • Experience in working with regression and deep learning algorithms.
  • Working experience with NLP, Computer Vision/Image Processing preferred.
  • 1-3 years of experience building statistical models with real world applications.
  • Experience with AI algorithm optimization techniques.
  • Experience using web services: Redshift/S3/Spark/Digital Ocean, etc.
  • Experience with distributed data/computing tools.
  • Experience in EDA (Exploratory Data Analysis.)
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