Lead Machine Learning Engineer

✨ About The Role

- The Lead Machine Learning Engineer will design, develop, and maintain scalable software applications with complex Data/ML solutions. - Responsibilities include monitoring and evaluating the performance of ML models in production and making necessary adjustments. - The role involves building and deploying RESTful APIs using Fast API to serve ML models and facilitate data interactions. - Collaboration with data scientists to understand model requirements and translate them into production-ready code is key. - The engineer will implement and optimize algorithms for data processing, feature extraction, and model training.

⚡ Requirements

- The ideal candidate will have over 8 years of experience as a Software Engineer, particularly with a focus on Machine Learning. - A strong background in building and scaling RAG applications using frameworks like Langchain and LLamaIndex is essential. - The successful individual will have at least 7 years of experience in Data & Analytics, specializing in the design and development of Data & ML pipelines. - Hands-on experience with ML frameworks and libraries such as TensorFlow, PyTorch, and Scikit-learn is crucial. - The candidate should be a continuous learner, staying updated with the latest advancements in ML and software engineering.