Member/Senior Member, Tech Ops (GAI Tech)

Role overview

Member/Senior Member, Tech Ops (GAI Tech) at D. E. Shaw India

We are looking for a resourceful candidate to join our GAITech team in Hyderabad / Gurugram to help manage technology operations for all products and tools owned by the team.

In this role, you will be responsible for managing and troubleshooting technology operations for all products and tools owned by the GAITech team.

Responsibilities

• You will partner with cross-functional operations and technology teams to proactively identify and resolve issues and escalate technical problems requiring code changes to the development team.

Employment details

• Location: Hyderabad [Gurugram] [India]

Additional role details

• The GAITech team is responsible for building Generative AI (GAI) infrastructure and applications within the firm.
• The team's objectives consist of identifying the most productive GAI models, providing tools for sophisticated GAI-based applications, creating initial iterations of GAI tools, and offering support to technical staff involved with GAI projects.
• The focus of the GAITech team is on improving areas such as developer productivity, process efficiency, making DESCO data easy to use with LLMs, and promoting generative AI for BU-specific adoption.
• Additionally, a significant aspect of the GAITech team’s role focuses on user education and promoting inter-departmental collaboration.
• Your day-to-day activities will involve writing and debugging Python code to automate processes and solve operational challenges, as well as working with Linux commands for system monitoring and troubleshooting.
• Furthermore, you will have the opportunity to learn and implement new technologies as needed to support the team’s goals and help ensure the smooth functioning of core AI infrastructure in a dynamic, global environment.
• Please note that this is a shift-based operations role supporting a global, round-the-clock environment.
• You can expect to work night shifts for roughly two weeks in a month, with the remaining weeks scheduled during morning hours.