TechniPros
AI/ML Engineer-Alpharetta, GA, Tallahassee, FL, Montgomery, AL, Nashville, TN, Raleigh, NC, Columbia, SC
Tallahassee, Florida, USA · Contract
Sponsorship not specifiedDetected 40 days ago
PythonFastAPIBackend DevelopmentGitAWSCI/CDDatadogAPI DevelopmentMachine LearningData EngineeringLLMsAgentic AIMLOpsStakeholder ManagementLeadershipCommunicationProblem Solving
About the role
- The ideal candidate will have a strong background in Software Engineering, Data Engineering, or Solution Architecture, combined with hands-on expertise in Generative AI, Agentic AI, Predictive AI, and cloud-based AI platforms.
Responsibilities
- Design, develop, and deploy scalable AI/ML solutions for enterprise applications.
- Build and maintain Generative AI and Agentic AI applications using modern AI frameworks and cloud services.
- Develop backend APIs and microservices using Python and FastAPI.
- Implement and optimize AI/ML pipelines for model training, deployment, monitoring, and lifecycle management.
- Establish and maintain CI/CD pipelines and MLOps best practices for AI/ML workloads.
- Collaborate with engineering, architecture, data, and business teams to deliver enterprise AI solutions.
- Support AI platform development initiatives and enterprise AI modernization efforts.
Requirements
- 10+ years of experience in Software Engineering, Data Engineering, or Solution Architecture.
- Experience with Predictive AI models and AI-driven business solutions.
- Hands-on experience with AWS Bedrock and Amazon SageMaker.
- Experience implementing CI/CD Pipelines for AI/ML workloads.
- Experience using GitHub Copilot or similar AI-assisted development tools.
- Strong understanding of MLOps frameworks and AI governance practices.
- Experience with cloud-native architectures and distributed systems.
Nice to have
- Integrate Large Language Models (LLMs) into business applications and enterprise workflows.
- Leverage AWS Bedrock and Amazon SageMaker for AI solution development and deployment.
- Monitor AI systems using observability and performance monitoring platforms.
- Ensure AI applications meet scalability, security, reliability, and performance requirements.
- Required Skills 10+ years of experience in Software Engineering, Data Engineering, or Solution Architecture.
- 3+ years of hands-on experience designing and deploying AI/ML solutions.
- Strong expertise in Python development.
- Experience with FastAPI and backend API development.
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