remoteonsite
AI Developer - Hare & Turtle AI Solutions
Software Engineer
Lead end‑to‑end AI system development, from rapid prototyping to production deployment, using Python, ML frameworks, and cloud services like AWS. Build scalable, secure pipelines with Docker, Kubernetes, and CI/CD to deliver reliable AI solutions.
About the role
Key Responsibilities
- Design, develop, and deploy end‑to‑end AI models and pipelines using Python and popular ML frameworks.
- Implement scalable, containerized services with Docker and orchestrate them on Kubernetes clusters in AWS.
- Integrate continuous integration and continuous delivery (CI/CD) pipelines to automate testing, deployment, and monitoring.
- Collaborate with data scientists and product teams to translate business requirements into robust AI solutions.
- Ensure model governance, security, and compliance across the AI lifecycle.
Requirements
- Strong experience in Python and machine learning libraries (TensorFlow, PyTorch, scikit‑learn).
- Proficiency with AWS services (SageMaker, ECS/EKS, Lambda, S3, IAM).
- Hands‑on knowledge of Docker, Kubernetes, and CI/CD tools (GitHub Actions, Jenkins, ArgoCD).
- Solid understanding of data engineering concepts and experience with data pipelines.
- Excellent problem‑solving skills and ability to work in a fast‑paced, collaborative environment.
Skills
pythonmachine learningawsdockerkubernetescicd