Design and develop scalable machine learning models and algorithms to address business needs

Build and maintain robust data pipelines to support model training and deployment

Collaborate with data scientists and engineers to refine and optimize ML solutions

Implement and manage CI/CD pipelines for machine learning workflows

Monitor and improve model accuracy and performance over time

Analyze large datasets to extract meaningful insights and support model development

Stay up-to-date with the latest advancements in machine learning and AI technologies

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

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

Proficiency in Python for developing machine learning models and data pipelines

Hands-on experience with CI/CD tools and practices for deploying ML solutions

Strong knowledge of AWS services for machine learning and data processing

Fluent English skills, both written and spoken, at a B2 level or higher

Experience with Snowflake for data storage and analytics

Familiarity with advanced frameworks like TensorFlow or PyTorch

Exposure to MLOps practices and tools for managing machine learning systems