ML Infrastructure Specialist
2 days ago
We are seeking a highly skilled Machine Learning Engineer to build and maintain the infrastructure that supports machine learning models at scale. This is a unique opportunity to contribute to transformative technology that will drive business growth and innovation.
The ideal candidate will have experience with cloud platforms, containerization, scripting, and automation. Strong understanding of ML lifecycle and deployment strategies is also required.
Responsibilities:- Design, implement, and maintain scalable ML infrastructure
- Automate the deployment and monitoring of ML models
- Ensure the reliability and performance of ML systems in production
- 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
- Optimize resource usage and cost-efficiency of ML infrastructure
- Stay updated with advancements in ML Ops and cloud technologies
- 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
- Experience with cloud platforms (e.g., AWS, GCP, Azure) and containerization (e.g., Docker, Kubernetes)
- Proficiency in scripting and automation (e.g., Python, Bash)
- Strong understanding of ML lifecycle and deployment strategies
- Experience with monitoring and logging tools (e.g., Prometheus, Grafana)
- Familiarity with ML frameworks (e.g., TensorFlow, PyTorch)
- Experience with infrastructure as code (e.g., Terraform, Ansible)
- Strong software engineering skills, including version control (Git) and collaborative workflows
- Prior experience working in a collaborative, fast-paced team
- Strong communication skills, both written and verbal
- Willingness to engage in continuous learning and professional development
This is a mid-senior level, full-time position in the information technology sector.
It falls under the category of technology, information, and media.
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