Senior Machine Learning Engineer
Temporary
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.
Vacancy posted 11 hours ago
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