Remote Machine Learning Engineer

Description:

• Contribute to the design, development, and deployment of AI and ML models.
• Build scalable machine learning pipelines and platforms for advanced analytics and business intelligence.

Requirements:

• 3–5 years of experience in machine learning engineering with a track record of deploying models in production.
• Deep understanding of modern data stack and experience with data warehouses like Databricks or Redshift.
• 3 years of hands-on experience with AWS infrastructure, specifically SageMaker and Terraform.
• Proficiency in managing workflows using Airflow or similar systems.
• Experience with MLflow, Kubeflow, or SageMaker Feature Store.
• Familiarity with model governance practices and data cataloging tools.
• Strong communication skills to convey technical concepts to non-technical stakeholders.
• Experience in FinTech or Financial Risk environments is a plus.

Benefits:

• Salary range: $100,000 - $130,000, with bonuses.
• Employer-paid benefits plan.
• Health & Wellness Flex Account.
• Wellness Days and Paid Holiday Shutdown.
• Wave Days (extra vacation days in the summer).