onsite
AI Platform Specialist - AWE Plc
Software Engineer
Design, build, and scale AI/ML platforms, providing technical leadership and end‑to‑end delivery of complex machine‑learning solutions using Python, cloud services, and container orchestration.
About the role
Key Responsibilities
- Architect and implement end‑to‑end AI/ML platforms on cloud infrastructure, ensuring scalability, reliability, and security.
- Lead the design, development, and deployment of production‑grade models using frameworks such as TensorFlow and PyTorch.
- Provide technical mentorship and guidance to data scientists, engineers, and cross‑functional teams throughout the model lifecycle.
- Integrate CI/CD pipelines, container orchestration (Kubernetes), and model‑serving tools (MLflow, SageMaker) to automate model training, testing, and deployment.
- Evaluate emerging AI technologies, conduct proof‑of‑concepts, and translate business requirements into robust technical solutions.
Requirements
- Bachelor’s degree in Computer Science, Data Science, Engineering, Mathematics, or related STEM field (or equivalent experience).
- 5+ years of hands‑on experience developing and deploying AI/ML solutions at scale.
- Proficiency in Python and major ML frameworks (TensorFlow, PyTorch) and strong cloud experience (AWS).
- Demonstrated ability to lead technical teams, mentor junior engineers, and drive best‑practice adoption.
- Experience with containerization (Docker), orchestration (Kubernetes), and MLOps tools (MLflow, CI/CD pipelines).
Skills
pythontensorflowpytorchawskubernetesmlflow