Design scalable machine learning algorithms and models to meet business objectives

Develop and sustain reliable data pipelines for model training and deployment

Partner with data scientists and engineers to fine-tune and enhance ML solutions

Establish and operate CI/CD pipelines to streamline machine learning processes

Track and boost model accuracy and efficiency continuously

Analyze extensive datasets to derive actionable insights supporting model creation

Keep current with emerging machine learning and AI trends and technologies

Bachelor's degree in Computer Science, Engineering, or related discipline

Minimum 3 years of experience in machine learning engineering or similar roles

Proficiency in Python for building machine learning models and data workflows

Practical experience with CI/CD tools and deployment for ML applications

Strong understanding of AWS services relevant to machine learning and data handling

English language proficiency at B2 level or higher, both written and verbal

Knowledge of Snowflake for data analytics and storage

Experience with deep learning frameworks such as TensorFlow or PyTorch

Familiarity with MLOps tools and practices for managing ML lifecycle