Machine Learning Engineer | Remote

• Design, build, and optimize robust machine learning models for production environments.
• Implement and automate end-to-end ML pipelines using CI/CD best practices.
• Leverage AWS services for scalable AI infrastructure and model deployment.
• Orchestrate containerized workloads using Kubernetes to ensure high availability and seamless scalability.
• Collaborate with data scientists, engineers, and researchers to translate complex business problems into actionable ML solutions.
• Evaluate, preprocess, and frame real-world data problems for effective machine learning applications.

Requirements

• Have proven expertise in machine learning algorithms, model development, and deployment.
• Possess strong programming skills, ideally in Python or Java, with experience in large-scale software engineering projects.
• Have in-depth experience with CI/CD workflows and automation tools.
• Have hands‑on expertise with AWS cloud services for ML applications and data pipelines.
• Have advanced knowledge of Kubernetes for orchestrating containerized ML workloads.