Senior Machine Learning Engineer

Role Overview
The Machine Learning Engineer is responsible for designing, developing, and deploying scalable machine learning and AI solutions that drive business value. This role focuses on translating business problems into production-ready ML systems, ensuring model reliability, performance, and continuous improvement.
Key Responsibilities
Design, develop, and deploy machine learning models for production environments
Apply supervised, unsupervised, and advanced ML techniques to solve business problems
Build, automate, and maintain end-to-end ML pipelines and workflows
Evaluate, tune, and optimize model performance using appropriate metrics
Implement data preprocessing, feature engineering, and model validation strategies
Utilize ML frameworks such as PyTorch, TensorFlow, or Scikit-learn
Deploy models using cloud platforms (AWS, Azure, or GCP) and containerization tools (Docker, Kubernetes)
Collaborate with data engineers, software engineers, and busine...