ZS is a place where passion changes lives. As a management consulting and technology firm focused on improving life and how we live it, our most valuable asset is our people. Here you'll work side-by-side with a powerful collective of thinkers and experts shaping life-changing solutions for patients, caregivers, and consumers worldwide. ZSers drive impact by bringing a client-first mentality to each and every engagement. We partner collaboratively with our clients to develop custom solutions and technology products that create value and deliver company results across critical areas of their business. Bring your curiosity for learning; bold ideas; courage and passion to drive life-changing impact to ZS.
Architecture & Engineering Specialist – ML Engineering ZS's Scaled AI practice is part of ZS's 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.
What You'll Do Design and implement technical features leveraging best practices for technology stack being usedCollaborate with client-facing teams to understand solution context and contribute to technical requirement gathering and analysisWork with technical architects on the team to validate design and implementation approachWrite production-ready code that is easily testable, understood by other developers, and accounts for edge cases and errorsEnsure the highest quality of deliverables by following architecture/design guidelines, coding best practices, periodic design/code reviewsWrite unit tests as well as higher-level tests to handle expected edge cases and errors gracefully, as well as happy pathsUse bug tracking, code review, version control, and other tools to organize and deliver workParticipate in scrum calls and agile ceremonies, and effectively communicate work progress, issues, and dependenciesConsistently contribute in researching & evaluating the latest technologies through rapid learning, conducting proofs-of-concept and creating prototype solutionsSupport the project architect in designing modules/component of the overall project/product architectureBreak down large features into estimable tasks, lead estimation and can defend them with clientsImplement complex features with limited guidance from the engineering lead. For example, service or application-wide changeSystematically debug code issues/bugs using stack traces, logs, monitoring tools, and other resourcesPerform code/script reviews of senior engineers in the teamMentor and groom technical talent within the teamWhat You'll Bring At least 5+ relevant hands-on experience in deploying and productionizing ML models at scaleExpertise in designing, configuring, and using ML Engineering platforms like Sagemaker, MLFlow, Kubeflow, or other platformsBig data - Hive, Spark, Hadoop, queuing system like Apache Kafka/Rabbit MQ/AWS KinesisAbility to quickly adapt to new technology and be innovative in creating solutionsAbility to independently run POCs on new technologies and document findings to shareStrong in at least one of the programming languages - PySpark, Python or Java, Scala, etc. and programming basics - Data StructuresHands-on experience in building metadata-driven, reusable design patterns for data pipeline, orchestration, ingestion patterns (batch, real-time)Experience in designing and implementation of solution on distributed computing and cloud services platform (but not limited to) - AWS, Azure, GCPHands-on experience building CI/CD pipelines and awareness of practices for application monitoringAdditional Skills: AWS/Azure Solutions Architect certification with an understanding of broader AWS/Azure stackUnderstanding DevOps CI/CD, data security, experience in designing on cloud platform;Willingness to travel to other global offices as needed to work with the client or other internal project teamsPerks & Benefits: ZS offers a comprehensive total rewards package including health and well-being, financial planning, annual leave, personal growth and professional development. Our robust skills development programs, multiple career progression options and internal mobility paths and collaborative culture empowers you to thrive as an individual and global team member.
We are committed to giving our employees a flexible and connected way of working. A flexible and connected ZS allows us to combine work from home and on-site presence at clients/ZS offices for the majority of our week. The magic of ZS culture and innovation thrives in both planned and spontaneous face-to-face connections.
Considering applying? At ZS, we're building a diverse and inclusive company where people bring their passions to inspire life-changing impact and deliver better outcomes for all. We are most interested in finding the best candidate for the job and recognize the value that candidates with all backgrounds, including non-traditional ones, bring. If you are interested in joining us, we encourage you to apply even if you don't meet 100% of the requirements listed above.
To Complete Your Application: Candidates must possess work authorization for their intended country of employment.
An online application, including a full set of transcripts (official or unofficial), is required to be considered.
NO AGENCY CALLS, PLEASE.
Find Out More At: www.zs.com
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