Data and ML Engineer

Job Summary

To support the enhancement of data systems and intelligent workflows, the full-time Data and ML Engineer will build and maintain data pipelines, contribute to AI and ML initiatives, and collaborate with cross-functional teams in a remote setting with some overlap in EST.

Key responsibilities

• Build and maintain reliable data pipelines and workflows while optimizing data architecture and performance
• Assist in operationalizing ML and AI-enabled workflows, supporting predictive analytics and automation initiatives
• Collaborate with Product, Engineering, and business teams to translate business problems into technical solutions and support analytics needs

Required qualifications

• 2-4 years of experience in Data Engineering, Analytics Engineering, ML Engineering, or related roles
• Strong SQL and Python skills with experience in cloud data warehouses such as BigQuery
• Exposure to ML models or AI-powered workflows and familiarity with LLMs or similar AI tooling
• Experience building or maintaining data pipelines and understanding data modeling concepts
• Familiarity with APIs and automation workflows