Top AI & Machine Learning Jobs

Design, build, and operationalize a unified AI/ML data collection platform. Responsibilities include LLM/RAG pipelines, data ingestion, feature management, model lifecycle and deployment, observability, scalable distributed systems, and mentoring engineers to deliver production-ready ML solutions.

Design, architect, and develop Python-based APIs and cloud-native AI platforms. Build and optimize relational and vector databases, implement retrieval-augmented generation and LLM fine-tuning, enforce AI governance and safety, drive AI adoption, and define architectural standards while collaborating with cross-functional teams to ensure scalable, maintainable enterprise solutions.

Build and productionize ML and generative AI solutions for marketing: data pipelines, modeling, RAG/embedding workflows, automation agents, integrations, monitoring, and documentation.