Senior Engineer - Large Language Model Engineer

Technology Group

ZS''s Scaled AI practice is part of ZS''s rich and advanced AI ecosystem, in the Associate Consultant role, 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 youll do:

• Collaborate with client facing teams to understand solution context and contribute in technical requirement gathering and analysis
• Design and implement technical features leveraging best practices for technology stack being used
• 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 highest quality of deliverables by following architecture/design guidelines, coding best practices, 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
• Uses 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 latest technologies through rapid learning, conducting proof-of-concepts and creating prototype solutions

What youll bring

• 2+ years of relevant hands-on experience
• CS foundation is must
• Strong command over distributed computing framework like Spark (preferred) or others.
• Strong analytical / problems solving
• Ability to quickly learn and become hands on new technology and be innovative in creating solutions
• Strong in at least one of the Programming languages - Python or Java, Scala, etc. and Programming basics - Data Structures
• Hands on experience in building modules for data management solutions such as 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, GCP
• Good understanding of RDBMS, with some exp on ETL is preferred
• Fluency in English
• Client-first mentality
• Intense work ethic
• Collaborative spirit and problem-solving approach

Additional Skills:

• Understanding of DevOps, CI / CD, data security, experience in designing on cloud platform
• AWS Solutions Architect certification with understanding of broader AWS stack
• Knowledge of data modeling and data warehouse concepts
• Willingness to travel to other global offices as needed to work with client or other internal project teams

Howyoullgrow:

• 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

Hybrid working model:

ZS is committed to a Flexible and Connectedway of working.ZSersareonsiteat clients or ZS offices three days a week. Combined flexibility to work remotely two days a week is also available.The magic of ZS culture and innovation thrives in both planned and spontaneous face-to-face connections.

How youll 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