Key skills
PythonAIMachine LearningMLGenerative AIGenAIRAGMLOpsMLflowKubeflowAWSAzureKubernetesDockerJenkinsGitHub ActionsGitLab CISageMakerAzure DevOpsGitHubGitLabCI/CD
About this role
Job Title: AI Engineer Production AI / MLOps
Location: Charlotte, NC / Philadelphia, PA
Duration: Contract
Experience: 4 6 Years
Rate: $80 100/hr.
Job Summary
We are looking for an AI Engineer with strong experience in production deployment of AI systems, CI/CD automation, and scalable AI engineering practices. Candidates should have hands-on experience operationalizing machine learning and generative AI applications in enterprise environments.
Responsibilities
- Build and deploy AI/ML applications into production environments.
- Design and maintain CI/CD pipelines for AI/ML workloads.
- Manage model lifecycle, testing, monitoring, and deployment automation.
- Work with cloud-native AI infrastructure on AWS.
- Collaborate with engineering teams to productionize AI solutions.
- Implement MLOps best practices and model governance.
Required Skills
- 4 5 years of engineering experience.
- Strong Python development experience.
- Hands-on experience with AI/ML production deployment.
- Experience with CI/CD tools (Jenkins, GitHub Actions, GitLab CI, Azure DevOps).
- Experience with Docker, Kubernetes, containerization.
- Strong AWS cloud experience.
- Experience with monitoring and observability of AI systems.
Preferred Skills
- Experience with LLMs, RAG, or GenAI systems.
- Exposure to MLflow, Kubeflow, SageMaker, or similar tools.
- Financial domain experience.