Machine Learning Engineer

A Machine Learning Engineer is responsible for building and deploying scalable machine learning software and tools for a range of clients. They collaborate with cross-functional teams to ensure technical feasibility and timely delivery of high-quality, production-ready systems. The role involves leading architecture decisions, defining deployment standards, and advising stakeholders on complex ML concepts. Candidates should have experience with frameworks like Scikit-learn, TensorFlow, or PyTorch, and possess strong Python skills. Proficiency in cloud infrastructure, containers, and orchestration tools such as Docker and Kubernetes is essential. The position requires excellent communication skills and the ability to work independently in a fast-paced environment.