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Build and maintain BI dashboards, reports, and data pipelines to deliver insights for AI-driven business solutions using Spark, Cloudera, and AWS.
The Senior Data Scientist will lead the design and implementation of AI models and algorithms to solve complex business challenges. The role involves conducting data analysis, mentoring junior team members, and collaborating across functions to deploy advanced machine learning solutions.
The Machine Learning Associate Analyst will develop and support AI/ML models and agentic workflows to improve healthcare outcomes. The role involves data preprocessing, model evaluation, and integrating AI solutions using Python and orchestration frameworks like LangChain.
The Senior Machine Learning Engineer will design and build scalable AI/ML platform infrastructure to support distributed model training for intelligent driving technologies. The role involves optimizing training performance and collaborating with research teams using Python, PyTorch, and cloud-based distributed computing environments.
Manages AI solution design and prototypes for enterprise clients, bridging sales and technical teams to demonstrate cloud-based AI value using hyperscaler tools like AWS Bedrock and Azure ML.
This role involves architecting and building enterprise-grade AI solutions, including LLM-based agents and RAG pipelines, to optimize IT business applications like marketing and sales workflows. The position focuses on solutions engineering and technical leadership rather than pure research.
Build and maintain enterprise AI solutions in Python/Java, integrating LLMs and conversational assistants for a public-sector modernization project in Madrid.
Develops power and thermal management software for NVIDIA’s Tegra SoC and embedded platforms, collaborating with hardware/software teams to optimize performance and efficiency in Linux kernel/user space.
Designs and verifies PCIe controllers for NVIDIA’s GPUs/SOCs using UVM/Specman/e, building reusable testbenches and ensuring correctness via coverage-based methodologies.
The Engineering Manager will lead a platform engineering team responsible for the backend infrastructure, CI/CD pipelines, and cloud services that power AI agent workflows. The role involves managing team growth and strategy while remaining hands-on with architecture and code in a Python-based, cloud-native environment.
The Agentic AI Engineer will design and deploy autonomous AI agents and machine learning solutions to modernize operations for the United States Postal Service. The role involves building agent-based architectures using frameworks like LangChain and AutoGen, implementing MLOps pipelines, and ensuring AI governance and performance.
The AI Business Analyst will bridge the gap between business needs and technical solutions for global financial market projects. The role involves gathering requirements, conducting data analysis, and facilitating communication between business units and technical teams to implement AI-driven initiatives.
Build and maintain AI-driven enterprise apps using .NET 6/7/8, React, Power Apps, and Azure OpenAI/Anthropic APIs, deployed on AWS.
The Senior AI Agent Engineer will build and operate a production platform that enables AI agents to assist engineering teams with software delivery. The role involves designing resilient workflows, managing LLM-powered systems, and collaborating with internal teams to improve software development processes.
The Senior Staff Digital Design Engineer will lead the design, implementation, and verification of DSP algorithms and digital control logic for audio processing within ASIC systems. This role involves the full ASIC design flow, from specification to silicon bring-up, utilizing expertise in digital signal processing and mixed-signal integrated circuits.
This hybrid role combines technical support and SRE responsibilities to maintain and scale an AI security SaaS platform. The engineer will monitor system performance, troubleshoot customer incidents, and develop automation to improve platform reliability.
Build and deploy enterprise-grade AI systems, from prototypes to production, integrating LLMs and agentic workflows while ensuring reliability, security, and cost efficiency.
Senior DevOps/SRE Engineer deploying, maintaining, and supporting o9's AI-based Digital Brain Platform across AWS, Azure, and GCP using Kubernetes, Terraform, Ansible, Jenkins, and ArgoCD, with night-shift and on-call rotation requirements.
Backend Engineer designing APIs, task orchestration, and streaming responses for LLM/Agent products using Golang or Python, relational/NoSQL databases, and AI tools like Claude Code and MCP.
Senior AI Engineer designing and deploying production-grade AI systems across cloud and on-prem environments, working with Python, containerization, MLOps tools, and distributed system architecture.
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