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).