Code and Theory is seeking to improve the scalability and reliability of their AI/ML infrastructure
Requirements
- Extensive experience in deploying machine learning models to cloud environments
- Strong expertise in Docker container orchestration
- Proficiency in Terraform for infrastructure as code (IaC) and cloud resource management
- Hands-on experience with streaming data platforms (e.g., Kafka, Kinesis)
- Solid understanding of data cleaning, transformation, and ETL processes
- Experience with CI/CD tools and pipelines (e.g., Jenkins, GitLab CI)
- Strong programming skills in Python
Responsibilities
- Deploying machine learning models to cloud environments
- Docker container orchestration
- Terraform for infrastructure as code (IaC) and cloud resource management
- Working with streaming data platforms (e.g., Kafka, Kinesis)
- Data cleaning, transformation, and ETL processes
- CI/CD tools and pipelines (e.g., Jenkins, GitLab CI)
- Strong programming skills in Python and familiarity with ML frameworks (e.g., TensorFlow, PyTorch)
Other
- Excellent problem-solving skills and the ability to think critically and creatively
- Strong communication skills with the ability to convey technical concepts to non-technical stakeholders
