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Senior Machine Learning Systems Engineer
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Senior Machine Learning Systems Engineer
We are seeking a skilled Senior Machine Learning Systems Engineer to join our team. As an expert in machine learning and software engineering, you will be responsible for designing, developing, and implementing scalable and reliable systems for deploying machine learning models into production.
The ideal candidate will have strong programming skills in languages such as Python, Java, or Scala, and expertise with containerization technologies (Docker, Kubernetes) and DevOps tools (Jenkins, Ansible, Grafana, Prometheus, Elastic).
Key Responsibilities:
- Design and develop scalable and reliable systems for deploying machine learning models into production
- Implement CI/CD pipelines for seamless model updates and releases
- Establish robust monitoring and alerting systems to track model performance, system health, and data drift
- Collaborate with cross-functional teams to understand requirements, implement solutions, and address challenges throughout the ML lifecycle
Requirements:
- Minimum 5 years of experience as an MLOps Engineer and similar roles
- Hands-on knowledge in delivering and leading data science and machine learning projects
- Experience with cloud platforms (AWS, Azure, GCP) and cloud architecting for machine learning technologies
- Strong ability to effectively convey technical concepts to non-technical stakeholders, in English
