Top AI & Machine Learning Jobs

Design, build, and validate AI PoCs and prototypes using LLMs, RAG, and agent systems. Translate business challenges into measurable AI solutions, define success criteria, ensure security, privacy, governance, and Responsible AI, integrate solutions with enterprise systems, and hand over validated solutions to delivery teams.

Design, build, and maintain AI agent infrastructure for internal developer workflows and product features. Implement agent loops, context handling, tool integrations, caching, guardrails, evaluations, and cost tracking. Enable teams to adopt AI safely and compliantly (on-prem, air-gapped, EU AI Act, GDPR).

Build and own an internal AI engineering platform (model gateway, agents, context handling, tooling, caching, guardrails, secrets, observability). Define standards and reference architectures, operationalize experiments, run evaluations and cost tracking, support on-prem/air-gapped deployments, and help product teams deliver compliant customer-facing AI features while driving adoption and measurable ROI.

Pursue an Industrial PhD researching context-aware vision-language and multimodal AI, explainability, and confidence estimation. Implement and evaluate prototypes in Milestone XProtect, run experiments on public and proprietary datasets, publish results, and collaborate across research and product teams.

Support research and prototyping in machine learning and computer vision: develop and test prototypes, prepare and annotate datasets, run experiments, document results, review literature, and produce technical summaries and demos while collaborating with researchers and engineers.