Top AI & Machine Learning Jobs

Design and implement large-scale, distributed AI-driven SD-WAN systems and real-time, fault-tolerant services. Drive features end-to-end from design through testing and deployment, improve scalability and operability, participate in code and design reviews, and collaborate with product and documentation teams.

Design and scale AI-powered sales enablement experiences: architecture for generative AI, RAG, AI agents, content discovery, guided selling, coaching automation, governance, pilots, integrations with enablement/CRM/LMS systems, and measure adoption and business impact.

Designs, builds, and operates infrastructure integrating existing LLMs into reliable internal and customer-facing tools. Responsibilities include AI platform and pipeline development, third-party tooling integration, retrieval systems, orchestration, monitoring, observability, cost controls, guardrails, and failure handling. The role collaborates with training and documentation stakeholders, establishes AI adoption standards, and promotes practical AI use across the organization.

Designs, deploys, and maintains AI, machine learning, and generative AI solutions supporting sales forecasting, pipeline analytics, lead scoring, customer segmentation, and seller productivity. Builds predictive models, AI copilots, assistants, and RAG solutions; analyzes CRM and operational data; develops dashboards and executive reporting; and establishes MLOps monitoring. Partners with sales, revenue operations, and IT leaders to identify use cases, deliver scalable solutions, and drive data-informed commercial decisions.

Design, build, and scale AI/ML solutions using statistical and deep learning methods. Conduct research, architect models, implement production code, mentor junior engineers, collaborate with cross-functional teams, and translate business requirements into deployable AI systems.

Design, implement, and scale AI/ML solutions using statistical and deep learning techniques. Conduct research, architect models, optimize performance, mentor junior engineers, collaborate with cross-functional teams, and translate business requirements into production-ready systems and insights.

Build and operate cloud-native, large-scale data pipelines and scalable services for the Mist platform. Develop AI-driven routing intelligence to detect, troubleshoot, predict, and mitigate network issues in multi-tenant data centers, collaborating across teams and leveraging AI-assisted development tools.

Lead product strategy and roadmap for AI-powered Digital Assistant across quote-to-cash workflows. Translate business needs into requirements, collaborate with ML and engineering teams, prioritize features, monitor performance, and ensure ethical AI. Drive cross-functional alignment, build business cases, and deliver demos to stakeholders.

Lead architecture and engineering for cloud-native, data-intensive AI applications. Design scalable, secure solutions, drive MLOps/LLMOps, CI/CD, model deployment/monitoring, generative AI integrations (LLMs, RAG, embeddings), establish observability and governance, mentor teams, and partner with product, security, and business stakeholders.

Design, develop, deploy, and maintain GenAI-based cloud applications and platforms. Lead solution design, coding, testing, integration and troubleshooting in containerized, Kubernetes-managed environments. Mentor engineers, ensure security and compliance, drive adoption of new technologies, and collaborate across teams to deliver scalable, cloud-native AI/ML services.