Machine Learning Engineer - Remote

Overview

Tiger Analytics is looking for experienced Machine Learning Engineers to join our fast-growing advanced analytics consulting firm. Our employees bring deep expertise in Machine Learning, Data Science, and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner.

In Short

• ML Engineer with 5-7 years of IT experience.
• Pipeline Training Models, Building, Deployment, Testing, and Monitoring using AWS SageMaker, AWS CFT, AWS CodePipeline, Lambda, etc.
• Develop Airflow DAGs to run training and scoring pipelines
• Develop a Testing framework with Pytest
• Implement monitoring solution with homebrew solution using Lambda and Dash
• Develop Data Quality solutions potentially leveraging Great Expectations.

Requirements

• 5-7 years of experience in IT.
• Strong knowledge of Machine Learning and Data Science.
• Experience with AWS services.
• Proficiency in developing Airflow DAGs.
• Experience with testing frameworks like Pytest.
• Ability to implement monitoring solutions.
• Experience with Data Quality solutions.

Benefits

• Opportunity to work with Fortune 500 companies.
• Work in a fast-growing analytics consulting firm.
• Collaborate with a global team of experts.
• Access to advanced tools and technologies.
• Flexible working arrangements.