Engineering Specialist _ R&D Content Authoring

Posted Yesterday
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2 Locations
Hybrid
Senior level
Artificial Intelligence • Healthtech • Professional Services • Analytics • Consulting
Where passion changes lives
The Role
Design, implement, and productionize scalable ML/GenAI solutions. Collaborate with cross-functional and client teams on architecture, write production-ready code and tests, run POCs, lead complex feature implementations, perform debugging and code reviews, mentor engineers, and author R&D content/technical documentation for content/authoring workflows.
Summary Generated by Built In
ZS is a place where passion changes lives. As a management consulting and technology firm focused on improving life and how we live it, we transform ideas into impact by bringing together data, science, technology and human ingenuity to deliver better outcomes for all. 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 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 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, architect, and implement complex technical features, applying best practices across the chosen technology stack and ensuring scalability, reliability, and maintainability.
  • Collaborate closely with client - facing and cross - functional teams to understand business context, contribute to requirements gathering, and translate solution needs into actionable technical designs.
  • Partner with technical architects to validate design decisions, review alternatives, and jointly define implementation approaches for high - impact components.
  • Write high - quality, production - ready code that is modular, testable, maintainable, and resilient to edge cases and failure scenarios.
  • Ensure delivery excellence by adhering to architecture guidelines, coding standards, and contributing actively to design and code reviews.
  • Develop unit tests and higher - level automated tests to ensure coverage of both expected and edge scenarios, improving overall solution reliability.
  • Use engineering tools effectively - version control, code review platforms, issue tracking systems, observability/monitoring tools - to plan, organize, and deliver work.
  • Participate in Agile ceremonies (scrum calls, sprint planning, retrospectives) and provide structured updates, blockers, and risk signals in a timely manner.
  • Drive technical exploration by rapidly evaluating emerging technologies, conducting proofs - of - concept, and presenting insights and recommendations to the broader team.
  • Support the technical architect in shaping module - level and component - level architecture, ensuring alignment with the broader product or project blueprint.
  • Break down complex, multi - step features into clear, estimable tasks, lead the estimation process, and effectively communicate rationale to internal teams and clients.
  • Independently lead implementation of complex or cross - cutting features that span multiple services, components, or application layers.
  • Troubleshoot and systematically debug issues using logs, alerts, monitoring dashboards, and diagnostic tools to drive quick and root - cause - level resolution.
  • Perform peer code reviews, including reviewing work from senior engineers, ensuring quality, consistency, and adherence to engineering standards.
  • Mentor, coach, and develop technical talent within the team, providing guidance on best practices, design patterns, and coding workflows.
  • Author and maintain product, asset, and technical documentation-particularly for content/authoring workflows within the R&D domain-ensuring clarity, consistency, and knowledge continuity

What You'll Bring
  • 5+ years of hands - on experience in deploying, productionizing, and scaling ML or GenAI applications in real - world environments.
  • Deep expertise in ML Engineering platforms such as SageMaker, MLflow, Kubeflow, or equivalent orchestration frameworks.
  • Strong command of distributed data technologies: Hive, Spark, Hadoop, and messaging/streaming systems such as Kafka, RabbitMQ, or AWS Kinesis.
  • Ability to quickly learn new technologies, run independent POCs, and document insights in a structured, consumable format.
  • Strong proficiency in at least one programming language: Python, PySpark, Java, or Scala, combined with a solid foundation in data structures and algorithmic thinking.
  • Hands - on experience creating metadata - driven, reusable patterns for data ingestion, orchestration, and pipeline automation (batch + real - time).
  • Experience designing and implementing solutions on distributed/cloud platforms: AWS, Azure, GCP.
  • Practical exposure to CI/CD pipelines, DevOps practices, and application monitoring/observability tools
  • Fluency in English
  • Client-first mentality
  • Intense work ethic
  • Collaborative spirit and problem-solving approach

How you'll grow:
  • Cross-functional skills development & custom learning pathways
  • Milestone training programs aligned to career progression opportunities
  • Internal mobility paths that empower growth via s-curves, individual contribution and role expansions

Perks & Benefits:
At ZS, your growth matters. We offer a comprehensive total rewards package that supports your health and well-being, financial future, time away, and professional development. With robust skills-building programs, multiple career progression paths, internal mobility, and a deeply collaborative culture, you'll have the opportunity to do meaningful work, expand your capabilities, and thrive as part of a global community. For details on total rewards in India , visit ZS India office locations | Where we work | ZS .
Hybrid working model:
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.
Travel:
Travel is a requirement at ZS for client facing ZSers; business needs of your project and client are the priority. While some projects may be local, all client-facing ZSers should be prepared to travel as needed. Travel provides opportunities to strengthen client relationships, gain diverse experiences, and enhance professional growth by working in different environments and cultures.
Considering applying?
At ZS, we 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, and make us unique. We believe your personal interests, identities, and desire to learn are integral to your success here. We are committed to building a team that reflects a broad variety of backgrounds, perspectives, and experiences. Learn more about our inclusion and belonging efforts and the networks ZS supports to assist our ZSers in cultivating community spaces and obtaining the resources they need to thrive.
If you're eager to grow, contribute, and bring your unique self to our work, we encourage you to apply.
ZS is an equal opportunity employer and is committed to providing equal employment and advancement opportunities without regard to any class protected by applicable law.
To complete your application:
Candidates must possess or be able to obtain 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.
NO AGENCY CALLS, PLEASE.
Find Out More At:
www.zs.com

Skills Required

  • 5+ years hands-on experience deploying, productionizing, and scaling ML or GenAI applications
  • Deep expertise in ML engineering platforms such as SageMaker, MLflow, or Kubeflow
  • Strong command of distributed data technologies: Hive, Spark, Hadoop
  • Experience with messaging/streaming systems such as Kafka, RabbitMQ, or AWS Kinesis
  • Proficiency in at least one programming language: Python, PySpark, Java, or Scala
  • Hands-on experience building metadata-driven, reusable patterns for data ingestion, orchestration, and pipeline automation (batch and real-time)
  • Experience designing and implementing solutions on cloud/distributed platforms: AWS, Azure, or GCP
  • Practical exposure to CI/CD pipelines, DevOps practices, and application monitoring/observability tools
  • Ability to run independent POCs and document insights in a structured format
  • Fluency in English and client-facing, collaborative mindset

What the Team is Saying

Ash Easwar
Suzanne Boyan
Kristina Sambucci
Callum Brazier
Michelle Lu
Mike Vula
Mina Labib
Judith Kulich
Anna Simon
Rachana Late
Bazgha Qutab
Ayush Kataria
Carolina Blanco
Kumar Ritwik
Emily Reynolds
Mahmood Majeed
Mahmood Majeed
Bazgha Qutab
Mahmood Majeed

ZS Compensation & Benefits Highlights

  • Healthcare Strength Health coverage is described as comprehensive across medical, dental, vision, mental‑health resources, and wellness support. Feedback suggests the health insurance is a standout perk in practice.
  • Parental & Family Support Family‑forming and parental supports are extensive, including up to $95,000 toward fertility and family planning, adoption support, backup care, and milk‑shipping for traveling parents. A U.S. Family Leave Program provides 10 weeks paid leave that can combine with 6 additional paid maternity weeks for birthing parents.
  • Inclusive Benefits Coverage Inclusive coverage explicitly extends to LGBTQIA+ needs with transgender‑inclusive healthcare and dedicated guidance. Feedback suggests these offerings are positioned as industry‑leading alongside robust family‑forming benefits.

ZS Insights

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The Company
HQ: Evanston, IL
15,000 Employees
Year Founded: 1983

What We Do

ZS is a management consulting and technology firm that partners with companies to improve life and how we live it. We transform ideas into impact by bringing together data, science, technology and human ingenuity to deliver better outcomes for all. Founded in 1983, ZS has more than 15,000+ employees in over 40 offices worldwide.

Why Work With Us

ZS is home to passionate people who embrace innovative thinking, collaboration and a client-first mindset. Welcome to a company where new ideas are celebrated, curiosity is welcomed, learning opportunities are abundant and colleagues become lifelong connections.

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About our Teams

ZS Offices

Hybrid Workspace

Employees engage in a combination of remote and on-site work.

The Flexible & Connected model is our ZS standard. ZSers decide where it makes the most sense for them to work each day given client or teamwork.

Typical time on-site: 3 days a week
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