Top Tech Jobs & Startup Jobs

The Senior Data Engineer will design and manage data pipelines, work with diverse teams on data solutions, and engage in R&D initiatives.

As an ML Engineer, create and improve ML models, collaborate with teams, maintain experimentation pipelines, and stay updated with ML advancements.

Develop and optimize Python services and APIs, implement generative AI features, collaborate with teams, and maintain code quality.

The role involves creating and improving ML models, developing pipelines, collaborating with teams, and maintaining models in production. Strong experience in Python and AWS is essential.

The ML Tech Lead will manage a team of engineers, oversee ML project roadmaps, and develop state-of-the-art AI solutions. Responsibilities include LLM design, AWS solution architecture, MLOps implementation, and team mentorship.

Lead a team of engineers to develop ML solutions, focusing on LLMs and AWS cloud. Oversee projects, manage resources, and ensure technical execution.

Lead a team in developing AI solutions using ML and LLMs, manage projects, optimize models, and ensure cloud best practices.