[Remote] AI/ML Engineer-Alpharetta, GA, Tallahassee, FL, Montgomery, AL, Nashville, TN, Raleigh, NC, Columbia, SC
Note: The job is a remote job and is open to candidates in USA. Dice is seeking a highly experienced AI/ML Engineer to design, develop, deploy, and scale enterprise-grade AI/ML solutions. The ideal candidate will have a strong background in Software Engineering, Data Engineering, or Solution Architecture, 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
- Integrate Large Language Models (LLMs) into business applications and enterprise workflows
- Leverage AWS Bedrock and Amazon SageMaker for AI solution development and deployment
- Establish and maintain CI/CD pipelines and MLOps best practices for AI/ML workloads
- Monitor AI systems using observability and performance monitoring platforms
- Collaborate with engineering, architecture, data, and business teams to deliver enterprise AI solutions
- Ensure AI applications meet scalability, security, reliability, and performance requirements
- Support AI platform development initiatives and enterprise AI modernization efforts
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
- Hands-on experience with Generative AI applications and frameworks
- Strong understanding of Large Language Models (LLMs)
- Experience building Agentic AI solutions and intelligent agents
- Experience with Predictive AI models and AI-driven business solutions
- Hands-on experience with AWS Bedrock and Amazon SageMaker
- Strong background in AI/ML Platform Development
- Experience building scalable backend services and APIs
- Experience implementing CI/CD Pipelines for AI/ML workloads
- Experience using GitHub Copilot or similar AI-assisted development tools
- Hands-on experience with observability and monitoring tools including: Splunk, Datadog, Arize, Galileo, Similar AI monitoring and observability platforms
- Experience designing and implementing enterprise-scale AI platforms
- Strong understanding of MLOps frameworks and AI governance practices
- Experience with cloud-native architectures and distributed systems
- Familiarity with AI observability, model monitoring, and drift detection
- Experience integrating AI solutions into large-scale enterprise environments
- AWS Certifications and/or AI/ML-related certifications preferred
- Experience working with enterprise AI adoption and transformation initiatives
Benefits
- W2 Only Opportunity.
- No Corp-to-Corp (C2C) candidates.
Company Overview