Machine Learning Engineer
il y a 3 semaines
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Machine Learning Engineer (Deployment and Optimization Specialist)Client:Snaphunt
Location:Not specified
Job Category:Other
EU work permit required:Yes
Job Reference:bb4fd61e1b26
Job Views:12
Posted:03.03.2025
Expiry Date:17.04.2025
Job Description:The Offer
The Job
Your responsibilities:
- Develop and maintain a code base that produces ML models for different business units.
- Refactor and simplify complexity continuously (e.g., batch to stream processing).
- Improve data flow, establish new data sources, and deployment.
- Troubleshoot data issues, providing robust solutions to ensure optimal performance and reliability.
- Continuously optimize our systems for performance and cost-effectiveness.
- Document technical specifications, procedures, and outcomes.
- Use Azure DevOps for CI/CD, task tracking, version control, and other DevOps practices.
The Profile
We are looking for you if you have:
- Very good knowledge of Spark and Python.
- Good understanding of ML models deployment and consumption patterns.
- Ability to refactor, maintain, and debug existing machine learning solutions.
- Ability to maintain and improve templates for productionizing ML solutions.
- Experience in building containerized components.
- Experience in deployment and provisioning automation tools (e.g., Docker, Kubernetes, CI/CD).
- Problem-solving skills, being able to troubleshoot and optimize ML models.
- Great communication skills and a team player.
- Interest in banking and banking products.
- Experience working in international, cross-functional teams.
- Knowledge in Airflow, GCP (Dataproc, BigQuery, GCS), and Azure pipelines.
The Employer
Our client is a global IT services company focusing on enterprise solutions and integration services consulting (SAP/Oracle), MRO Master Data Management, software development, product solutions for the education segment, and IT consulting services offering outsourcing solutions to enterprises worldwide.
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