Fortune 2000 company seeks an experienced AI / ML Engineer to design, build, and deploy production-ready AI solutions. The successful candidate will work across data, engineering, and product teams to operationalize machine-learning models and generative-AI tools that drive business results.
Requirements
- Build, train, and deploy ML and GenAI models using Python, TensorFlow, or PyTorch
- Implement cloud-based solutions in AWS SageMaker, Azure AI, or Google Vertex AI
- Develop automated MLOps pipelines (Docker / Kubernetes / MLflow)
- Integrate AI into enterprise platforms such as ServiceNow, Salesforce, or Workday
- Monitor model performance, compliance, and governance standards (SOC 2, NIST)
Benefits