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Our most valuable asset is our people.AtZSwe honor the visible and invisible elements of our identities, personal experiences and belief systems-the ones that comprise us as individuals, shape who we are andmake us unique. We believe your personal interests, identities, and desire to learn are part of your success here. Learn more about our diversity, equity, and inclusion efforts and the networks ZS supports to assist our ZSers in cultivating community spaces, obtaining the resources they need to thrive, and sharing the messages they are passionate about.Architecture & Engineering Specialist - ML EngineeringZS’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 Scaled AIpractice 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 DoWork on ZS AI Products or client AI solutions using ML Engineering & Data Science Tech stackWork on creating GenAI applications such as answering engines, extraction components, and content authoringProvides technical expertise including the evaluation of different products in ML Tech stackCollaborate with data scientists to create state-of-the-art AI modelsDesign and build ML Engineering platforms and componentsDesign and build advanced ML pipelines for Feature engineering, inferencing and continuous model trainingDesign and build ML Ops framework and components for model visibility and trackingManage the complete ML lifecycleLeads team to achieve established goals, such as delivering new features or functionalityMentor and groom technical talent within the teamReview individual work plans before implementation to identify potential issue areas and/or reduce reworkPerforms design / code reviews of the team to identify issues/risks and ensure robustnessDrive estimation of technical components and tracks team’s progressHandle client interactions as and when requiredRecommend designs that are scalable, testable, debuggable, robust, maintainable and usableMaintain a culture of rapid learning and explorations to drive innovations / POCs on niche technologies and architecture patterns;Systematically debug code issues using stack traces, logs, monitoring tools and other resourcesWhat You’ll Bring4-8 years experience in deploying and productionizing ML models at scaleStrong knowledge in developing RAG-based pipelines using frameworks like LangChain & LlamaIndexGood understanding of various LLMs like Azure OpenAI and proficiency in their effective utilizationSolid working knowledge of the engineering components essential in a Gen AI application, including Vector DB, caching layer, chunking, and embeddingExperience in scaling GenAI or similar applications to accommodate a high number of users, large data size, and reduce response time.Expertise in Designing, configuring and using ML Engineering platform like Sagemaker, Azure ML, MLFlow, Kubeflow or other platformsExperience in Building ML pipelines, Troubleshooting ML models for high performance and scalabilityExperience with Spark or other distributed computing frameworksStrong programming expertise in Python, Scala or JavaExperience in deployment to cloud services like AWS, Azure, GCPStrong fundamentals of machine learning and deep learningUp to date with recent developments in Machine learning and are familiar with current trends in the wider ML communityKnowledgeable of core CS concepts such as common data structures and algorithmsExcellent technical presentation skills (documentation, presentations, discussions)Good communicator with clear and concise, active listening and empathy skills.Collaborate well with teams with different backgrounds / expertise / functionsAdditional Skills:Understanding 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 on-line application, including a full set of transcripts (official or unofficial), is requiredto be considered.NO AGENCY CALLS, PLEASE.Find Out More At:www.zs.com
