[Hiring] Senior Machine Learning Engineer @Coderio

Role Description

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.

Qualifications

• 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 machine learning solutions in production environments.
• Advanced knowledge of Python, SQL, and Spark.
• Strong knowledge in (or similar to) Docker, Git, Bash Scripting, FastAPI, Sagemaker Studio, Airflow, and CloudFormation.
• Solid understanding of data architectures and complex systems integration.
• Demonstrated ability to troubleshoot and solve complex software system issues.
• Extensive experience with modern cloud platforms, specifically AWS and GCP.
• Must be a team player who effectively participates within the group. We are looking for a curious profile, a self-learner with a positive attitude, and excellent communication skills.

Requirements

• Domain experience in payments or other complex financial systems is a huge plus.

Benefits

• Long-term contract engagement with high impact and autonomy.
• Strategic and high-visibility role within a modern engineering culture.
• Opportunity to influence technical strategy, especially regarding MLOps, scalable data architectures, and cloud cost-efficiency.
• Collaborative international team with strong technical leadership.
• Flexible, dynamic, and fast-paced work environment.