AI/ML Engineer

Role overview Build and deploy machine-learning systems that solve practical client problems. The work spans production applications such as document-processing pipelines, retrieval-augmented search, and computer vision, with direct involvement in understanding requirements and delivering working solutions.

Responsibilities - Develop and deploy production machine-learning applications. - Build pipelines for processing and extracting information from documents. - Create retrieval-augmented generation search systems. - Implement computer-vision solutions for client use cases. - Work directly with clients to clarify needs and turn them into shipped AI features.

Requirements - Strong Python development skills. - Experience building machine-learning systems with PyTorch. - Ability to create and expose services using FastAPI. - Familiarity with vector databases and retrieval workflows. - Ability to collaborate with clients and deliver production-ready work.

Nice to have - Experience with voice AI.