Machine Learning Engineer

A Company is seeking a Machine Learning Engineer to design and implement scalable ML systems, collaborating with cross-functional teams to ensure technical and client requirements are met. The role involves building production-ready software, creating reusable solutions, and defining deployment standards for machine learning projects. Candidates should have experience with frameworks like Scikit-learn, TensorFlow, or PyTorch, along with strong Python skills and cloud infrastructure knowledge. Familiarity with container tools such as Docker and Kubernetes, and understanding of core ML concepts are essential for success. The position requires excellent communication skills to translate complex ideas for diverse stakeholders and the ability to thrive in a fast-paced environment. Responsibilities include technical scoping, system architecture, and acting as a technical advisor in client engagements.