Coderio designs and delivers scalable digital solutions for integral 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.
Requirements
Educational Foundation: Bache