The opportunity

As anML Engineer, you willbe responsible forthedeploymentof ourcore data scienceand AImodelsintoour Global Mobility Solution platform.

On this position you will:

• Contribute to the building of our ML Operations platform

• Support modeldeployment into Productionplatforms, ensuring effectivemodel management(artifact versioning, serving, inference pipelines,production integration)

• Support monitoring, logging, and observability to ensure system reliability and performance.

• Build and manage containerized deployment environments

• Evaluate and integrate cloud-native services, distributed computing frameworks, and infrastructure automation tools

• Collaborate with data scientists, cloud engineers and data engineers tosupport, troubleshoot,andoptimizeAImodelsproductionalization

• Transform proof-of-concept models into production-ready solutions and deploy them at scale

• Build model performance benchmarking,evaluationand monitoring capabilities.

• To join our team,you will need:

Education

Bachelor degree in Computer Science,

Master preferred

Languages

You are fluent in English.

Experience

• 3-4years of experience in deploying,monitoringand maintaining machine learning models in cloud environments

• Skills & Qualifications

Demonstrated experience with:

• Cloud platform technology (AWS,Terraform, Kubernetes,..)

• Linux-based systems, containerization, and workflow orchestration (Linux, Bash, Docker, Airflow, ...)

• Data storage, ingestion, and processing technologies (SQL, NoSQL, data lakes, object storage,batchand streaming pipelines)

• Software engineering tools and practices (Python, Git, Unit testing, CI/CD principles)

• Deployment ofproduction-level software

• Machine Learning lifecycle(MLOps)

Strong understanding of software development lifecycle and best practices.

Good problem-solving skills and attention to detail.

Must be able to function independently as well as work in a collaborative team environment.

Willingness to learnnew technologies