MLOps Technical Manager (Argentina)

MLOps Technical Manager (Argentina)

10 ago
|
Parser
|
Argentina

10 ago

Parser

Argentina

MLOps Technical Manager

Who is Parser?

Technology alone does not create impact-the right teams do. Founded in 2018, Parser is a boutique technology services and consulting firm helping general organisations solve complex business challenges through digital transformation, product development and Al enablement.

We are a fast-growing team of 340+ engineers and consultants across Europe (UK, Spain, Portugal), the Americas (US, Argentina, Uruguay, Colombia), and the Middle East. 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.

Why Join Us? 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 global environment, we'd love to meet you.

How will you impact?

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.

Your key responsibilities:

Your responsibilities include, but not limited to:
- Own the end-to-end technical delivery of ML systems, from backend infrastructure to frontend integration.
- Lead architectural decisions across the ML stack, ensuring scalability, reliability, and alignme

📌 MLOps Technical Manager (Argentina)
🏢 Parser
📍 Argentina

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