Design and build scalable machine learning algorithms and models to solve business problems

Develop and maintain robust data pipelines supporting ML model training and deployment

Collaborate effectively with data scientists and engineers to optimize machine learning solutions

Create and manage CI/CD workflows to support ML operations

Monitor and enhance the accuracy and performance of ML models over time

Analyze large datasets to generate insights aiding model development

Stay updated on the newest developments in machine learning and AI technologies

Bachelor’s degree in Computer Science, Engineering, or similar disciplines

At least three years of experience in machine learning engineering or related roles

Expertise in Python for developing machine learning models and data pipelines

Practical knowledge of CI/CD tools and practices for ML deployment

Strong familiarity with AWS machine learning and data processing services

English proficiency at B2 level or beyond, both written and spoken

Experience using Snowflake for data storage and analytic tasks

Knowledge of advanced ML frameworks like TensorFlow or PyTorch

Exposure to MLOps practices and tools for managing machine learning workflows