HRPS Machine Learning Data Engineer - Remote

Overview

This is a critical, hands-on role at the heart of product and client delivery, reporting directly to the Head of ML. You’ll work across three pillars: running ML Ops processes, refining LLM/ML models with human feedback and performance analysis, and transforming conversation data into repeatable, business-ready insights for clients and ongoing model innovation.

In Short

• Critical role in product and client delivery.
• Focus on ML Ops processes and model refinement.
• Transform conversation data into business-ready insights.
• Collaborate with product and engineering teams.
• Utilize Python, SQL, BI, and ML Ops skills.
• Perform analysis over large datasets.
• Deliver actionable Power BI reports.
• Monitor model performance and manage deployments.
• Support data integration and storage patterns.
• Run client-specific studies and present findings.

Requirements

• Bachelor’s degree in Data Science, Computer Science, or related field.
• 3–4 years of experience in data analysis or ML analytics.
• Strong skills in Python and SQL.
• Experience with Power BI and data warehousing.
• Familiarity with LLM concepts and cloud data services.
• Exposure to ML Ops tooling.

Benefits

• Fixed shifts with no weekend work.
• Day 1 benefits including laptop and medical insurance.
• Mentorship and community support.
• Valued contributions in a long-term career.