ZS Associates

OPENS AT: Jul 23, 2021, 12:30 PM

CLOSES AT: Aug 01, 2021, 06:25 PM


ZS Machine Learning Hiring Challenge

Challenge Over

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ZS is looking for Machine Learning Engineers with 2+ years of experience to join its Architecture & Engineering Expertise Center team in Bengaluru. The team builds transformative and AI-enabled technology solutions for clients including data lakes, data fabrics and many more innovative cutting-edge solutions. If you are passionate about solving problems at the intersection of Machine Learning and Big Data, register now.

Steps in the challenge:

  • Register on HackerEarth
  • You will be assessed online, based on what you score in the challenge and your resume
  • Winners will be invited to the ZS discussion process

Challenge format:

Online challenge:

  • 2 programming question restricted to Python and Scala
  • 10 MCQs


  • Minimum work experience: 2 years
  • Skills: Spark, Python, Data Science, AWS, ML, Azure

About the Team:

ZS AI Practice is building transformative AI-enabled data products and solutions. ZS suite of products and solutions include hyper-personalization, Customer journey design, AI-guided selling, large-scale unstructured customer data mining with NLP and dynamic pricing. Our products and client-focused solutions use state-of-the-art ML and Deep Learning techniques and ML Engineering Platforms. 

AI practice includes more than 200+ Data Scientists, ML Engineers and DevOps Engineers

About ZS:

ZS is a professional services firm that works side by side with companies to help develop and deliver products that drive customer value and company results. From R&D to portfolio strategy, customer insights, marketing and sales strategy, operations and technology, we leverage our deep industry expertise and leading-edge analytics to create solutions that work in the real world. Our most valuable asset is our people—a fact that’s reflected in our values-driven organization in which new perspectives are integral and new ideas are celebrated. ZSers are passionately committed to helping companies and their customers thrive in industries ranging from healthcare and life sciences to high-tech, financial services, travel and transportation, and beyond.


Architecture & Engineering Sr. Engineer - ML Engineering
Experience: 2-6 years
Job Location: Bangalore


  • Work on ZS AI Products or client AI solutions using ML Engineering & Data Science Tech stack
  • Collaborate with data scientists to create state-of-the-art AI models
  • Build, Refine and Use ML Engineering platforms and components
  • Scaling machine learning algorithms to work on massive data sets and strict SLAs
  • Build and orchestrate model pipelines for feature engineering, inferencing and continuous model training
  • Implement ML Ops including tracking model KPI measurements, model drift & feedback loop
  • Write production-ready code that is easily testable, understood by other developers and accounts for edge cases and errors
  • Ensure highest quality of deliverables by following architecture/design guidelines, coding best practices, periodic design/code reviews
  • Write unit tests as well as higher level tests to handle expected edge cases and errors gracefully, as well as happy paths
  • Uses bug tracking, code review, version control and other tools to organize and deliver work
  • Participate in scrum calls and agile ceremonies, and effectively communicate work progress, issues and dependencies
  • Consistently contribute in researching & evaluating latest architecture patterns/technologies through rapid learning, conducting proof-of-concepts and creating prototype solutions

Qualification & Experience

  • 2-6 years experience in deploying and productionizing ML models
  • Expertise in building and refactoring ML Models for high performance and scalability
  • Experience in implementing Model pipelines including feature engineering, inferencing and real time model predictions
  • Experience in ML Ops to measure and track model performance
  • Experience with Spark or other distributed computing frameworks
  • Strong programming expertise in Python, Scala or Java
  • Experience in ML platforms like Sagemaker, Azure ML, MLFlow, Kubeflow or other platforms
  • Experience in deploying models to cloud services like AWS, Azure, GCP
  • Good fundamentals of machine learning and deep learning
  • Knowledgeable of core CS concepts such as common data structures and algorithms
  • Collaborate well with teams with different backgrounds / expertise / functions.

Additional Skills

  • Understanding of DevOps, CI / CD, data security, experience in designing on cloud platform;
  • Experience in data engineering in Big Data systems
  • Willingness to travel to other global offices as needed to work with client or other internal project teams.


ZS was founded in 1983 by Andris Zoltners and Prabhakant (Prabha) Sinha, two Ph.D. classmates turned college professors at Northwestern University’s Kellogg School of Manag...



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