Coderio designs and delivers scalable digital solutions for general companies.
We combine strong technical expertise with a product mindset to lead complex software initiatives end-to-end.
We work with international clients, value autonomy and clear communication, and build long-term partnerships through technical excellence.
More information:This is a high‐impact technical role.
We are looking for a Senior Machine Learning Ops Engineer to join our team.
You will own the architecture, development, and automation of end-to-end machine learning solutions.
Operating within an established engineering team, you will be a key player in bridging the gap between data science and software engineering, evaluating cloud solutions, and deploying scalable machine learning models into production.This is a hands‐on execution role.
You are responsible for the technical health of the ML lifecycle, the performance and cost‐efficiency of the cloud architecture, and delivering high-quality, scalable solutions that drive business value.What To Expect In This Role (Responsibilities)ML Architecture & Development:



Architect and develop robust, end-to-end machine learning solutions.MLOps & Automation: Manage and automate the complete machine learning lifecycle, ensuring seamless transitions from development to production.Cross‐Functional Collaboration: Collaborate closely with data engineers and data scientists to create highly scalable solutions and integrate them with other technical areas across the software development life cycle.Cloud & Architecture Strategy: Work on cloud solutions, actively evaluating the performance and cost‐efficiency of potential architectures.Business Alignment: Interact with other teams and stakeholders to deeply understand business challenges and propose effective technical solutions.Mentorship & Advocacy: Communicate technical concepts clearly and teach teams how to properly use and adopt the new developments.RequirementsEducational FaysEnglish classesReferral programAccess to learning platforms
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