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Job Location: Bangalore
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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.
ZS’s India Capability & Expertise Center (CEC) houses more than 60% of ZS people across three offices in New Delhi, Pune and Bengaluru. Our teams work with colleagues across North America, Europe and East Asia to create and deliver real world solutions to the clients who drive our business. The CEC maintains standards of analytical, operational and technological excellence across our capability groups. Together, our collective knowledge enables each ZS team to deliver superior results to our clients.
ZS’s Beyond Healthcare Analytics (BHCA) Team is shaping one of the growth vertical & key focus area for ZS, Beyond Healthcare engagement, comprising of clients from industries like Technology, Food & Beverage, Hospitality, Travel, Insurance, Consumer Products Goods & other such industries across North America, Europe & South East Asia region. BHCA India team currently has presence across New Delhi, Pune and Bengaluru offices and is continuously expanding further at a great pace. BHCA India team work with colleagues across clients and geographies to create and deliver real world pragmatic solutions leveraging Technology, Advanced analytics and Operations based solutions
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ZS’s Scaled AI practice is part of ZS rich and advanced AI ecosystem, in the Architecture & Engineering Expertise Center, focused on creating continuous business value for clients using a range of innovative machine learning, deep learning, and engineering capabilities.
Being part of Scaled AI practice allows you to collaborate with data scientists to create state-of-the-art AI models, create and use cutting-edge ML platforms, create and deploy advanced ML pipelines and manage the complete ML lifecycle.
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 –
2-4 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
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ZS is a global consulting firm. Fluency in English is required; additional fluency in at least one European or Asian language is desirable.
Candidates must possess work authorization for their intended country of employment. An on-line application, including a full set of transcripts (official or unofficial), is required to be considered.
ZS offers a competitive compensation package with salary and bonus incentives, plus an attractive benefits package.
