Machine Learning Specialist

The Senior ML Ops Engineer is responsible for designing and building scalable architectures, workflows, and automation to support the end-to-end machine learning lifecycle. This role bridges the gap between data science and engineering, enabling fast, reliable, and maintainable ML solutions that solve complex business problems. The ideal candidate brings strong technical expertise, a collaborative mindset, and a passion for empowering data science teams. Location RequirementThis position is open only to candidates based in Spain. Applicants from other countries will not be considered. What to Expect in This Role (Responsibilities) Design and implement end-to-end ML pipelines and infrastructure.Manage and automate the ML lifecycle from experimentation to deployment.Collaborate with data and engineering teams to deliver scalable solutions.Optimize cloud architectures for cost, performance, and scalability.Ensure seamless integration of ML systems with business platforms.

Bachelor's in Software Engineering, Computer Science, or related field.3+ years deploying ML solutions in production.Proficiency in Python, SQL, and distributed data processing (Spark).Experience with Docker, Git, Bash, FastAPI, and cloud platforms (AWS/GCP).Knowledge of ML tools like SageMaker Studio, Airflow, and CloudFormation. Nice to Have Experience in payments or financial systems.Familiarity with MLOps best practices and team enablement.Proactive and adaptable in fast-paced environments.

100% remote Contract type: Contractor (international contract)Long-term commitment, with autonomy and impactStrategic and high-visibility role in a modern engineering cultureCollaborative international team and strong technical leadershipClear path to growth and leadership within Coderio

Coderio designs and delivers scalable digital solutions for global businesses. With a strong technical foundation and a product mindset, our teams lead complex software projects from architecture to execution. We value autonomy, clear communication, and technical excellence. We work closely with international teams and partners, building technology that makes a difference. Learn more: http://coderio.com