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.
Responsibilities
- Architect and develop robust,
end-to-end machine learning solutions.
- Manage and automate the complete machine learning lifecycle, ensuring seamless transitions from development to production.
- 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.
- Work on cloud solutions, actively evaluating the performance and cost-efficiency of potential architectures.
- Interact with other teams and stakeholders to deeply understand business challenges and propose effective technical solutions.
- Communicate technical concepts clearly and teach teams how to properly use and adopt the new developments.
Requirements
- Bachelor’s degree in software engineering/computer science, or proven equivalent experience in data engineering or machine learning roles.
- Proven hands‑on experience implementing and deploying machin