Lead AI solution business development for enterprise clients, from identifying business needs and designing practical services to proposals, UX planning, and project delivery with engineers. Apply generative AI, NLP, and optimization technologies to new services and operational reform.
Algorithm Engineer (Machine Learning Engineer / Data Scientist)
About this role
This role is an algorithm engineer in an AI research and solutions team, working with consultants and software engineers to turn machine-learning research into client solutions and products. It addresses business problems across industries including finance, retail, and manufacturing, with algorithms built for continued use rather than one-off validation.
The engineer proposes methods suited to business constraints, designs and implements modules using tabular, natural-language, and image data, reports analytical results to clients, and integrates algorithms into software such as Web APIs. The work also includes R&D to bring advanced techniques, including large language models, to a deployable level, and extending proven algorithms across industries or into internal products.
Applicants need experience in machine-learning or deep-learning development or research. They must be able to understand client problems through direct dialogue while developing algorithms that are practical for use, and have a strong interest in taking algorithms from proposal through implementation.
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