Scalable Machine Learning Specialist
2 weeks ago
We are seeking a talented Machine Learning Engineer to partner with a dynamic organization in building and maintaining scalable ML infrastructure.
This is an opportunity to contribute to transformative technology that will drive growth and innovation.
Key Responsibilities- Design, implement, and maintain scalable ML infrastructure using cloud platforms (e.g., AWS, GCP, Azure) and containerization (e.g., Docker, Kubernetes).
- Automate the deployment and monitoring of ML models using scripting and automation tools (e.g., Python, Bash).
- Ensure the reliability and performance of ML systems in production by optimizing resource usage and cost-efficiency.
- Collaborate with data scientists and engineers to integrate ML models into applications.
- Develop and maintain CI/CD pipelines for ML projects.
- Monitor and troubleshoot production ML systems.
- Document processes and best practices.
- Provide training and support to team members on ML Ops tools and practices.
- Bachelor's or Master's degree in Computer Science, Data Engineering, Machine Learning, or a related field.
- 4-5 years of experience in ML Ops or related roles.
- Strong understanding of ML lifecycle and deployment strategies.
- Experience with monitoring and logging tools (e.g., Prometheus, Grafana).
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