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Designs and owns AI agent governance systems, including identity architecture and policy enforcement, while driving technical decisions and mentoring engineers.
Senior engineer assessing buildability and resolving construction issues during active data center builds, coordinating with contractors and diagnosing electrical, mechanical, structural, and civil problems to capture lessons for design standards.
Build ML pipelines, time series forecasting, generative AI solutions, and predictive models while performing exploratory data analysis and creating visualizations to support Sales Operations.
The Data Analyst will analyze KPI and asset performance data, manage reporting, and support lab optimization initiatives. The role involves maintaining data quality and communicating insights to stakeholders.
Train large language models by designing multi-turn conversations, generating function-calling dialogues, selecting appropriate tool usage, and iterating on examples based on reviewer feedback.
The Principal Data Scientist will lead the development of enterprise-scale supply chain forecasting and inventory optimization systems using machine learning and causal inference. This role involves defining technical roadmaps, establishing model governance standards, and mentoring team members to drive business-critical replenishment initiatives.
Build and harden production Agentic AI systems including embedding pipelines, retrieval strategies, agent memory/context data layers, evaluation infrastructure, and streaming inference integration with serving stacks on DC GPU infrastructure.
- Coordinate sales activities - Develop and maintain customer relationships - Drive network analytics sales - Identify customer needs - Manage customer accounts
Builds and optimizes relational databases, enterprise data systems, and analytics pipelines to extract insights from structured/semi-structured data for web/desktop visualization, ensuring system performance, security, and integration with existing data warehouses.
Builds BI dashboards and reports, develops and performance-tunes ETL mappings (extract, transform, load), conducts unit testing, and creates documentation as part of the development lifecycle.
Mid-level BI/Data Warehouse Developer building ETL processes, SQL stored procedures, triggers, views, and BI dashboards and reports across the full data development lifecycle.
Junior BI Developer/Data Engineer responsible for building data pipelines, developing ETL processes, creating dashboards and reports, gathering stakeholder requirements, and supporting BI platform administration — fully remote from Bangalore, India.
Senior Technical Business Analyst bridging business and data engineering teams by eliciting requirements, creating data flow/ER diagrams and source-to-target mappings, performing SQL data exploration, and executing QA/UAT testing.
Administer and maintain cloud-based data platforms including databases, data lakes, and data warehouses, handling security, compliance, change management, and incident response.
The Senior ML Architect-Scientist will lead end-to-end modeling strategies for telemetry and log analytics, focusing on anomaly detection, forecasting, and NLP. The role involves defining analytic architectures, designing feature stores, and ensuring robust model governance and deployment.
Senior Data Science Consultant at Dell Technologies architecting AI and GenAI solutions, building ETL pipelines, developing multi-agent systems, and owning the full AI/ML lifecycle from prototype to deployment.
The Senior Applied AI Scientist will develop and deploy AI solutions, including foundation models and classical machine learning, to create new generative AI use cases for the bank. The role involves end-to-end development from proof of concept to production within a growing team.
Build and maintain AI/ML systems for robotics, including training evaluation pipelines, model fine-tuning, deploying algorithms in simulation and on physical hardware, and integrating robotic control and perception stacks.
Develops and maintains AI platforms, automates business processes, and integrates AI solutions into enterprise systems. Core focus on AI DevOps, agentic AI, and AI service deployment.
Design AI solutions by translating business needs into technical architectures, selecting platforms/models, and ensuring privacy/security compliance.
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