Create scalable machine learning models and algorithms tailored to business requirements

Maintain and enhance data pipelines facilitating model training and deployment

Work closely with data scientists and engineering teams to improve ML solutions

Develop and manage CI/CD workflows for machine learning projects

Continuously monitor and refine model performance and accuracy

Interpret large datasets to extract insights for model improvement

Stay informed on the latest machine learning and artificial intelligence innovations

Bachelor's degree in Computer Science, Engineering, or a comparable field

At least 3 years of experience in machine learning engineering or a related position

Advanced skills in Python for developing machine learning and data processing solutions

Hands-on experience with CI/CD methodologies for ML deployment

Comprehensive knowledge of AWS cloud services for machine learning and data operations

English proficiency at B2 level or above in both speaking and writing

Experience working with Snowflake for analytics and data storage

Familiarity with machine learning frameworks like TensorFlow or PyTorch

Exposure to MLOps tools and best practices for ML system management