Engineering Specialist

ZS; Bengaluru; On-site; INR 1,200,000 - 1,800,000; Full time

Benefits offered by this job

Comprehensive total rewards package

Professional development programs

Internal mobility opportunities

Job summary

A leading technology consulting firm in Bengaluru is seeking an experienced technical professional to design and implement ML models and GenAI applications. The ideal candidate will have at least 5 years of hands-on experience, strong knowledge in big data technologies, and the ability to mentor junior team members. Expect an environment that encourages innovation and collaboration, with the opportunity for client-facing travel and a robust benefits package to support your professional growth.

Qualifications

• 5+ years hands-on experience with deploying ML models at scale.
• Experience in scaling GenAI applications for high user load and data size.
• Strong knowledge of RAG-based pipelines using LangChain & LlamaIndex.

Responsibilities

• Design and implement technical features following best practices.
• Collaborate with teams for technical requirement gathering.
• Write production-ready code and perform thorough testing.
• Mentor junior technical talent within the team.

Skills

ML models deployment

GenAI applications development

RAG-based pipelines

Big data technologies

CI/CD pipelines

Programming languages

Metadata-driven design patterns

Client-facing skills

Tools

Sagemaker

MLFlow

Kubeflow

Hive

Spark

Hadoop

Apache Kafka

RabbitMQ

AWS Kinesis

Job description

Responsibilities

• Design and implement technical features leveraging best practices for technology stack being used.
• Collaborate with client‑facing teams to understand solution context and contribute to technical requirement gathering and analysis.
• Work with technical architects on the team to validate design and implementation approach.
• Write production‑ready code that is easily testable, understood by other developers, and accounts for edge cases and errors.
• Ensure the highest quality of deliverables by following architecture/design guidelines, coding best practices, and 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.
• Use 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 the latest technologies through rapid learning, conducting proofs‑of‑concept and creating prototype solutions.
• Support the project architect in designing modules or components of the overall project/product architecture.
• Break down large features into estimable tasks, lead estimation, and can defend them with clients.
• Implement complex features with limited guidance from the engineering lead, e.g., service or application‑wide change.
• Systematically debug code issues/bugs using stack traces, logs, monitoring tools, and other resources.
• Perform code/script reviews of senior engineers in the team.
• Mentor and groom technical talent within the team.

Qualifications

• At least 5+ relevant hands‑on experience in deploying and productionizing ML models at scale.
• Experience in scaling GenAI or similar applications to accommodate a high number of users, large data size, and reduce response time.
• Strong knowledge in developing RAG‑based pipelines using frameworks like LangChain & LlamaIndex.
• Experience in creating GenAI applications such as answering engines, extraction components, and content authoring.
• Expertise in designing, configuring, and using ML Engineering platforms like Sagemaker, MLFlow, Kubeflow, or other platforms.
• Big data skills: Hive, Spark, Hadoop, queuing systems like Apache Kafka, RabbitMQ, or AWS Kinesis.
• Ability to quickly adapt to new technology and be innovative in creating solutions.
• Ability to independently run POCs on new technologies and document findings to share.
• Strong knowledge in at least one of the programming languages – PySpark, Python, Java, Scala, etc., and programming basics – data structures.
• Hands‑on experience building metadata‑driven, reusable design patterns for data pipelines, orchestration, ingestion patterns (batch, real‑time).
• Experience in designing and implementing solutions on distributed computing and cloud services platforms (AWS, Azure, GCP, etc.).
• Hands‑on experience building CI/CD pipelines and awareness of practices for application monitoring.
• Fluency in English.
• Client‑first mentality.
• Intense work ethic.
• Collaborative spirit and problem‑solving approach.

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.

Benefits

At ZS, your growth matters. We offer a comprehensive total rewards package that supports your health and‑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.

Equal Opportunity Employer

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.