Job Title:
Associate Architect – Deep learning
Company: Yotta Data Services Private Limited
Location: Gurugram, Uttar pradesh
Created: 2026-03-07
Job Type: Full Time
Job Description:
Yotta Data Services is powering Digital Transformation with Scalable Cloud, Colocation, and Managed Services.Yotta Data Services offers a comprehensive suite of cloud, data center, and managed services designed to accelerate digital transformation for businesses of all sizes. With state-of-the-art infrastructure, cutting-edge AI capabilities, and a commitment to data sovereignty, we empower organizations to innovate securely and efficiently.Total /Relevant Experience1 to 3 YearsKey ResponsibilitiesThe key role of this profile is to work with customers directly and make them aware of technics available in DL and make best use of NVidia h/w & s/w. This includes installation and configuration of Nvidia DGX-family and different software stack (i.e. TRT/DS/usage of Tensorcore/AMP/NGC/Monitoring tools/Debugging tools/CUDA/other library & SDK/SLURM/Kubernetes). The role also includes few levels of project guidance and working jointly with customer on their journey of adopting right deep learning technics (both Training and Edge/Inferencing stack).Must-have skillWell experienced with one of the Deep learning framework: TensorFlow/PyTorch/MXNet/CaffeShould have done one project using Nvidia h/w and DL frameworkGood knowledge on H/w, OS troubleshooting & Shell scriptingWell understanding on Hardware and willing to learn Data centre implementation along with Deep learning.Ready to work directly with customers and available for long/short project related travels.CUDA and/or Hadoop knowledge will attract highest priority in selection criteria.Qualifications CriteriaBE/B.Tech. in Engineering, Mathematics or Computer Science, MS/M. Tech.Behavioral Attributes:Technical ProficiencyArt of Skillful ConversationCreativity and Problem SolvingTeamwork and CollaborationDrive for Results OwnershipCustomer FocusBuilding Collaborative RelationshipsBuilding an Effective Team