onsite
AI Engineer - GEI Consultants
AI Engineer
AI Engineer building, deploying, and integrating AI solutions using pretrained models and copilots into secure, scalable business workflows, collaborating with architects and platform teams to ensure production readiness.
About the role
Key Responsibilities
- Design, develop, and deploy AI solutions leveraging pretrained models and copilots to meet business objectives.
- Integrate enterprise data sources and build pipelines for model training, inference, and monitoring.
- Collaborate with solution architects and platform teams to ensure secure, scalable, and maintainable AI deployments on cloud infrastructure.
- Implement CI/CD pipelines using Docker and Kubernetes for continuous delivery of AI services.
- Monitor solution reliability, performance, and compliance, applying best practices for model governance.
Requirements
- Strong experience in Python and machine learning frameworks (e.g., PyTorch, TensorFlow).
- Hands‑on knowledge of cloud platforms, preferably AWS, and container orchestration with Docker/Kubernetes.
- Proficiency in building and deploying AI models at scale, including model versioning and monitoring.
- Excellent problem‑solving skills and ability to work collaboratively in cross‑functional teams.
Skills
pythonmachine learningawsdockerkubernetes