
Job description
As a Machine Learning Engineer, you will work on designing, developing and implementing machine learning models and algorithms. You will work in a tight knit team, working closely with the founding team who have a strong track record of building industry defining machine learning and analytics products.
Ability to rapidly prototype ideas using large language models and develop and implement ML solutions by fine-tuning these models and augmenting them with retrieval. Implement effective data processing techniques to ensure high-quality input for the machine learning models.
Strong programming skills in languages such as Python and experience with ML frameworks such as PyTorch and TensorFlow. Excellent problem-solving skills and the ability to work in a fast-paced, collaborative environment.
Company

Tech, Software & IT Services
CurieTech AI empowers integration engineers and architects with AI-driven agents that automate repetitive coding, transformation, documentation, and testing tasks. The company specializes in application and API integration, MuleSoft solutions, platform migration, and GenAI-enhanced coding agents, delivering end-to-end integration services that accelerate delivery and reduce human error. CurieTech's team comprises AI/ML and data experts from industry leaders such as Meta, Uber, X, and AWS, ensuring cutting-edge expertise and innovative problem-solving. This blend of deep technical talent and AI automation positions CurieTech as a distinctive partner for organizations seeking to modernize their integration workflows efficiently.
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