ZS Associates
ZS Associates
Princeton, NJ
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Jobs / Architecture & Engineering Sr. Engineer - ML Engineering

Architecture & Engineering Sr. Engineer - ML Engineering
Posted on: 24th June, 2021 | Closed

Skills C++
Experience 2-6 years exp
Job Location Bangalore
How to apply Take a 2 hrs screening test organized by ZS Associates.
  • Opening time: Jul 23, 2021 12:30 PM UTC
  • Closing time: Aug 01, 2021 06:25 PM UTC
Note: You can take the test anytime between the given duration

Responsibilities

  • 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.
About ZS Associates

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 Management. 

While studying at the University of Massachusetts, they’d conducted research together on the knapsack problem, an approach to combining items so that the total weight of those items together is less than or equal to a given limit.

Today, ZS works with companies around the world and across the marketplace, in industries ranging from healthcare to high-tech to financial services and beyond. ZS’s expertise and offerings have expanded significantly as well. We now help clients with everything from discovery through to commercialization, with the strategy, analytics and technology to enable it.

Employee Testimonial :


"What excites me most about my work is the culture of collaboration across teams and the multi-dimensional learning opportunities. Every day, there's something new to challenge you, along with the dynamic nature of problems and great people."

- Reena V., data science consultant, Bangalore.

Employee Testimonial :

“To me, ZS has always been more than just a workplace. Working here, helped me bring discipline to my way of life and shaped my personality. Working on ZS's strategic initiatives with the Global and India leadership, broadened my career horizon. Self-development along with recognition came with every opportunity. I would like to thank the leadership who believed in my abilities and my colleagues from whom I have learnt so much.” – Abhay M., business operations consultant, Pune.

Employee Testimonial :

" I joined ZS in July 2018 as a fresher and couldn't have asked for a better first experience in terms of not just the work but also the people. While the projects I worked on ensured that I had ample opportunity to innovate and be constantly challenged technically, what really struck a chord with me was the ZS culture. Everyone at ZS, irrespective of designation, is so approachable that it puts you at ease. The kind of treatment that I have received from my mentors at ZS is what has motivated me to be better each day. I have experienced firsthand that at ZS, treating people right is not just a fancy phrase, but it is deeply embedded in how we operate as a firm." – Shweta M., business technology analyst, Pune.

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