Top AI & Machine Learning Jobs

Build and validate production-grade ML and AI systems across pricing, underwriting, claims, and portfolio management. Work with structured and unstructured data, LLMs and agentic workflows, extract information from documents, resolve entities, create feature pipelines and inference services, quantify uncertainty, monitor drift, and measure business impact in collaboration with engineers, actuaries, underwriters, and product teams.

Embed with business teams to identify workflows, rapidly prototype, and deliver production AI applications using LLMs, agents, RAG, and enterprise integrations. Build full-stack solutions, integrate with platforms (Microsoft 365, Salesforce, Oracle), deploy to cloud, and create reusable AI components and standards to drive enterprise adoption and measurable business value.

Lead development and production deployment of advanced ML/AI pricing models across Home, Renters, Car, and Pet lines. Own end-to-end projects, align stakeholders, mentor junior data scientists, set technical standards, and drive adoption of advanced data science practices within Insurance.

Lead enterprise discovery to identify high-value AI use cases, scope engagements (outcomes, milestones, pricing), support sales and proposals, stay embedded through delivery to drive expansion, and develop industry AI roadmaps and positioning.

Lead architecture and delivery of scalable AI/ML and computer vision platforms for Manufacturing and Automotive customers. Own end-to-end solution design across cloud, edge, and embedded systems, mentor senior teams, drive ADAS and industrial AI initiatives, support pre-sales, and ensure technical governance and delivery excellence.

Join customer conversations to design and prototype technical AI solutions, evaluate architecture and integrations, build/debug production implementations, and own end-to-end technical problems to scale platform patterns across customers and internal teams.

Lead architecture, build, and deploy enterprise-grade Agentic and Generative AI multi-agent solutions. Develop RAG pipelines, vector search, and AI microservices in Python (FastAPI/Flask). Deploy on cloud (AWS/Azure/GCP) with Docker/Kubernetes and CI/CD, implement AI security/governance, mentor engineers, and drive AI strategy and platform roadmaps.

Design and build a platform for safe inference and agent-driven decisioning on complex financial and insurance data. Develop evals for extractors/transformers, standardize high-variability data, manage overlapping data ingestors, and orchestrate self-healing agents. Drive engineering design, deliver end-to-end projects, and mentor junior engineers to productionize mission-critical workflows that impact lending, compliance, and insurance verification.

Design and train foundation vision-language models that read entire CT studies end-to-end. Build custom PyTorch architectures and distributed training pipelines, run large-scale experiments, evaluate models for clinical safety, and move models through FDA submission to hospital deployment.

Design, build, and deploy automation frameworks, AI-enabled tools, and KPI dashboards. Integrate data from engineering tools, develop prototypes on Microsoft Copilot and Power Platform, support AI model testing and optimization, and drive user adoption, governance, and cross-functional implementation.