Machine Learning Engineer

We are seeking a Machine Learning Engineer to develop, deploy, and support production machine learning models in a cloud-based enterprise environment. This role focuses on building end-to-end ML pipelines, deploying models using Amazon Web Services and Amazon SageMaker, and collaborating with engineering and analytics teams to support scalable, reliable ML systems.

Qualifications

• 3–5 years of professional experience in machine learning or applied data science
• Completed Master’s degree in Computer Science, Data Science, Engineering, or a related quantitative field
• Strong proficiency in Python and experience working with large datasets
• Experience with model training, tuning, evaluation, and monitoring
• Familiarity with SQL, APIs, and data pipelines

Key Responsibilities

• Develop and deploy machine learning models into production
• Maintain and improve ML pipelines and workflows
• Monitor model performance and support ongoing enhancements
• Support and maintain existing production ML systems