ZS ยท 6 days ago
Data Science Engineer
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ConsultingManagement Consulting
H1B SponsorshipActively Hiring
Insider Connection @ZS
Responsibilities
Build, orchestrate, and monitor model pipelines including feature engineering, inferencing, and continuous model training
Scale machine learning algorithms to work on massive datasets and strict SLAs
Build and enhance ML Engineering platforms and components
Implement ML Ops including model KPI measurements, tracking, data and model drift, and model 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, period design/code reviews
Use bug tracking, code review, version control, and other tools to organize and deliver work
Participate in scrum calls, and effectively communicate work progress, issues, and dependencies
Consistently contribute to researching and evaluating latest architecture patterns/technologies through rapid learning, conducting proof-of-concepts, and creating prototype solutions
Qualification
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Required
Bachelor's/Master's degree with specialization in Computer Science, MIS, IT or commensurate industry experience
6+ years of experience developing high performing web-based applications, cloud technologies, software development best practices
Experience in ML Ops to measure and track model performance
Good fundamentals of machine learning and deep learning
Knowledgeable of core Computer Science concepts such as common data structures, algorithms, and design patterns
Experience in ML platforms like Sagemaker, MLFlow or other platforms
Experience in deploying models to cloud services like AWS, Azure, GCP
Expertise in crafting ML Models for high performance and scalability
Experience in implementing feature engineering, inferencing pipelines and real time model predictions
Domain expertise and/or willingness to learn clinical development domain
Experience with microservices architecture using docker, Kubernetes or comparable technology
Expertise with Linux, command line tools and shell scripting
Experience building/using enterprise grade platform APIs
Deep understanding of current database technologies including graph, relational and document stores
Preferred
Up to speed with latest technologies related (but not limited to) to cloud platform services
Curious mindset, new ideas and dedication to your craft
Ability to lead project teams in driving end to end activities to meet set milestones and provide necessary mentorship/ guidance for the team growth
Ability to distill complex concepts into easy-to-understand frameworks and presentations
Strong verbal and written communication skills with ability to articulate results and issues to internal and client teams
Ability to work within a virtual global team environment and contribute to the overall timely delivery of multiple projects
Willingness to travel to other global offices as needed to work with client or other internal project teams
Company
ZS
ZS is the place where ambitions are welcomed and where passion changes lives.
H1B Sponsorship
ZS has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Trends of Total Sponsorships
2023 (197)
2022 (363)
2021 (388)
2020 (180)
Funding
Current Stage
Late StageRecent News
2023-06-06
Company data provided by crunchbase