job summary:
we're seeking an ai/ml devops engineer to design, implement, and maintain the infrastructure and pipelines for our ai/ml models. you will collaborate with cross-functional teams to ensure efficient model deployment, monitoring, and maintenance. your expertise in devops practices, cloud computing, and ai/ml technologies will enable us to deliver scalable, reliable, and high-performing ai solutions.
key responsibilities:
devops and infrastructure:
1. design, implement, and manage ai/ml model serving infrastructure (cloud-native, on-premises, or hybrid).
2. develop and maintain ci/cd pipelines using tools like jenkins, gitlab ci/cd, or azure devops.
3. ensure scalability, security, and compliance of ai/ml infrastructure.
4. collaborate with cloud architects to optimize cloud resources and costs.
requirements:
technical skills:
1. 3+ years of experience in devops, cloud computing, or ai/ml engineering.
2. strong expertise in:
- cloud platforms (aws, azure, gcp).
- containerization (docker, kubernetes).
- ci/cd tools (jenkins, gitlab ci/cd, azure devops).
- ai/ml frameworks (tensorflow, pytorch, scikit-learn).
- programming languages (python, java, c++).
3. experience with agile development methodologies.
education:
1. bachelor's or master's degree in computer science, electrical engineering, or related fields.
nice to have:
1. experience with ai/ml model development and deployment.
2. knowledge of security and compliance regulations (., gdpr, hipaa).
3. familiarity with nosql databases (., mongodb, cassandra).