Remote job
ML Engineer
Job details
About this role
Role overview
Design and deploy machine learning models for production use. Projects may cover predictive analytics, natural language processing, and AI automation, with work spanning model development and the practices needed to operate models reliably after deployment.
Responsibilities - Develop machine learning models for production applications. - Support predictive analytics, NLP, and AI automation projects. - Prepare models for deployment and contribute to machine learning operations practices. - Apply statistical and algorithmic methods to modeling problems. - Work on solutions that may involve real-time inference or specialized data such as images and language.
Requirements - At least three years of machine learning engineering experience. - Strong Python skills. - Experience with TensorFlow or PyTorch. - Understanding of machine learning deployment and MLOps. - Solid grounding in statistics and algorithms.
Nice to have - Experience with large language models and transformer architectures. - Computer vision experience. - Published research or participation in Kaggle competitions. - Experience building real-time machine learning systems.
Benefits and work setup - Full-time, remote position.