HRPS Machine Learning Data Engineer (Remote, Full-Time)

About Smart Working

At Smart Working, we believe your job should not only look right on paper but also feel right every day. This isn’t just another remote opportunity - it’s about finding where you truly belong, no matter where you are. From day one, you’re welcomed into a genuine community that values your growth and well-being.

Our mission is simple: to break down geographic barriers and connect skilled professionals with outstanding global teams and products for full-time, long-term roles. We help you discover meaningful work with teams that invest in your success, where you’re empowered to grow personally and professionally.

Join one of the highest-rated workplaces on Glassdoor and experience what it means to thrive in a truly remote-first world.

About the role

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.

As a Machine Learning Data Engineer, you’ll combine technical skills in Python, SQL, BI, and ML Ops with analytical storytelling that bridges data and decision-making. To succeed, you’ll bring an analytical, meticulous, and bias-aware mindset, communicate clearly with non-technical stakeholders, collaborate closely with product and engineering teams, and demonstrate adaptability, initiative, and strong time management in a distributed environment.

Responsibilities

At Smart Working, you’ll never be just another remote hire.

Be a Smart Worker — valued, empowered, and part of a culture that celebrates integrity, excellence, and ambition.

If that sounds like your kind of place, we’d love to hear your story.