Technology alone does not create impact-the right teams do. Founded in , Parser is a boutique technology services and consulting firm helping global organisations solve complex business challenges through digital transformation, product development and Al enablement.
We combine global reach with a mindset focused on agility, senior expertise, and close collaboration.
We work as an extension of our clients' teams, helping them define the right problems, shape solutions, and deliver technology-driven outcomes that create measurable business value. Our expertise spans software engineering, Al & data, product development, and customer experience, delivered by teams that combine strong technical depth with a consulting mindset.
If you are looking for a place where you can think beyond execution, take true ownership of outcomes, influence decisions, and continuously learn alongside top-tier specialists in a truly integral environment, we'd love to meet you.
As a Tech Lead with a strong MLOps engineering background, you will lead the design, architecture, and delivery of ML infrastructure,
owning the end-to-end stack from backend to frontend while driving MLOps best practices across the team. You will work closely with data scientists, engineers, and cross-functional stakeholders to deliver scalable ML systems—including predictive maintenance, fault detection, and component lifecycle optimization—while mentoring and guiding your engineering team.
Own the end-to-end technical delivery of ML systems, from backend infrastructure to frontend integration.
Drive the ongoing migration from MLflow to AWS SageMaker, maintaining continuity and minimizing disruption.
Define and enforce MLOps best practices across model training, serving, monitoring, and deployment.
Design and maintain scalable ML infrastructure supporting batch and real-time environments, alongside robust ETL/ELT pipelines.
Develop and maintain React-based frontend interfaces that surface ML insights to operational and
📌 Technical Director (España)
🏢 Parser
📍 España