Machine Learning Engineer

Responsibilities:

• Develop & Deploy: Build, train, and operationalize machine learning models for production environments.
• Optimize & Scale: Construct resilient, cost-efficient ML and AI use cases while balancing sustaining and accelerating systems.
• Establish Controls & Governance: Uphold benchmarks for dependability, fairness, and compliance with lineage tracking.

Requirements:

• Experience: Minimum 3–5 years of professional machine learning engineering with production deployments.
• Technical Depth: Deep understanding of modern data stack including Databricks or Redshift.
• Cloud Proficiency: At least 3 years of hands-on AWS experience with SageMaker, Spark/AWS Glue, and Terraform.

Compensation:

• Salary: $100,000–$130,000 a year, determined by experience and alignment.
• Benefits: Bonus structure, employer-paid health plan, wellness flex account, wellness days, paid holiday shutdown, and Wave Days.