3+ years of hands-on experience developing and deploying AI models in production environments with 1 year of experience in developing proofs of concept and prototypes
Strong background in software development, with experience in building and maintaining scalable, distributed systems
Strong programming skills in languages like Python and familiarity in ML frameworks and libraries (e.g., TensorFlow, PyTorch)
Knowledge of containerization and orchestration tools like Docker and Kubernetes.
Familiarity with cloud platforms (AWS, GCP, Azure) and their ML/AI service offerings
Experience with continuous integration and delivery tools such as Jenkins, GitLab CI/CD, or CircleCI.
Experience with infrastructure as code tools like Terraform or CloudFormation.