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Designs and delivers multi-cloud, AI-driven enterprise solutions (GenAI/Agentic AI, RAG, LLMOps) for clients, leading architecture, POCs, and technical delivery across AWS/Azure/GCP.
The Business Analyst (AI) identifies AI opportunities, bridges business needs with tech solutions, and drives AI adoption across processes, focusing on Generative AI and LLMs.
Designs, configures, and maintains ICT infrastructure for platform operations, ensuring compliance with security and regulatory policies while leveraging AI to automate testing and improve efficiency.
A Technical Business Analyst focused on identifying AI automation opportunities in public sector operations, designing AI prototypes, and driving adoption across government divisions while ensuring responsible AI use and tracking efficiency gains.
Hands-on QA Engineer/SDET focused on backend API testing and automation, integrating tests into CI/CD pipelines while leveraging AI tools to enhance testing workflows. Core stack includes TypeScript/Python, Jest, Playwright, Pytest, SQL, Redis, and ELK.
Drive responsible AI adoption in a social-services organization by identifying use cases, prototyping solutions, and guiding teams on safe, effective AI use.
The Lead Software Engineer will design and support high-performance B2B scoring services using Java, C++, Groovy, and Python. The role involves leveraging AWS and containerization technologies while mentoring junior engineers and collaborating across teams to deliver mission-critical analytics solutions.
Develops and optimizes NVIDIA’s DRIVE OS platform for autonomous vehicles, integrating AI agents and system-level software across hardware, OS, and middleware layers.
The Senior Software QA Test Development Engineer will architect and implement scalable, agentic end-to-end test frameworks and infrastructure for NVIDIA's distributed systems. The role focuses on leveraging AI-assisted workflows and automation to improve software quality and developer productivity within Linux, Docker, and Kubernetes environments.
This role involves hands-on development of distributed block and file storage solutions for NVIDIA's DGX Cloud, focusing on C-based kernel and userspace programming. The engineer will design and implement high-performance storage services while collaborating across teams to support large-scale AI infrastructure.
Principal architect designing system-level power, performance, and thermal solutions for NVIDIA’s AI/accelerated computing silicon, defining multi-generation roadmaps and optimizing trade-offs across hardware, firmware, and platform layers.
Build NVIDIA NIM's model customization and deployment lifecycle platform—designing fine-tuning pipelines (LoRA, quantization), evaluation harnesses, and compliance/attestation layers on top of LLM serving infrastructure.
Designs and builds cloud-based data pipelines and warehouses using Azure/AWS and Databricks to deliver analytics solutions for retail and AI-powered projects.
The Databricks Solution Architect designs and delivers scalable, cloud-native big data platforms and lakehouse architectures for enterprise clients. This role involves strategic consulting, leading data modernization initiatives, and integrating AI/ML capabilities using technologies like Databricks, Spark, and Kafka.
The Databricks Data Engineer will design and implement scalable data pipelines and Lakehouse architectures to support advanced analytics and AI use cases for clients. This role involves working with the Databricks platform, cloud-native environments, and ETL/ELT workflows to deliver robust, secure data solutions.
The Snowflake Data Engineer will design, build, and maintain secure, high-performing data pipelines and ecosystems for clients. The role involves collaborating with cross-functional teams to implement ETL/ELT processes and advanced analytics solutions using Snowflake and cloud-native technologies.
Consultant helps a fast-growing Data Science team streamline processes, governance and collaboration to scale effectively and align with business priorities.
This role involves automating software delivery, infrastructure provisioning, and security controls for the Case Management Modernization program using AWS, CI/CD pipelines, and Infrastructure as Code. The engineer will integrate security into the full lifecycle while optimizing cloud data platform performance and reliability.
The Applied AI Scientist builds and deploys generative AI and agentic systems to automate regulatory submissions and R&D processes within a GxP-regulated environment. The role focuses on leveraging LLMs, NLP, and Databricks to analyze scientific documentation and improve cycle times for pharmaceutical product development.
Leads AI/ML engineering initiatives, designing and deploying enterprise-scale LLM and RAG applications while defining technical architecture and driving cross-functional delivery for business impact.
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