About the company
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.
Job title and basic info
Senior Machine Learning Ops Engineer
Type: Long‑term contract engagement
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: Bachelor’s degree in software engineering/computer science, or proven equivalent experience in data engineering or machine learning roles.
- ML Deployment Mastery: Proven hands‑on experience implementing and deploying machine learning solutions in production environments.
- Core Stack Expertise: Advanced knowledge of Python, SQL, and Spark.
- Tooling & Infrastructure: Strong knowledge in Docker, Git, Bash Scripting, FastAPI, Sagemaker Studio, Airflow, and CloudFormation.
- Architecture & Integration: Solid understanding of data architectures and complex systems integration.

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