Director
Job Title: Sr. Engineer GenAI & MLOps (AWS)
Location: Atlanta, GA (Remote)
Duration: Long Term Contract
Role Summary: Seeking a Senior GenAI & MLOps Engineer to design, deploy, and scale Generative AI and ML solutions on AWS. The role focuses on building production-grade ML/LLM pipelines, automating model lifecycle, deploying scalable AI services, and ensuring governance and compliance standards.
Key Responsibilities:
- Build and manage end-to-end MLOps pipelines for training, deployment, monitoring, and retraining.
- Deploy and optimize Generative AI/LLM applications, including RAG-based solutions.
- Productionize ML models and enable scalable inference services.
- Implement CI/CD automation for ML workflows.
- Monitor model performance, drift detection, and automated retraining.
- Implement AI/ML governance, security, compliance, and responsible AI controls.
- Collaborate with data science and DevOps teams to integrate AI solutions.
Required Skills:
- Strong experience in Generative AI, LLMs, Prompt Engineering, and RAG frameworks
- Hands-on expertise in MLOps and ML lifecycle management
- AWS services: SageMaker, Bedrock, Lambda, EKS/ECS, S3, Step Functions, API Gateway, CloudWatch, IAM, AWS Organizations & governance controls
- Programming: Python, PyTorch/TensorFlow
- Frameworks: LangChain or LlamaIndex
- API development using FastAPI/Flask
- Containerization: Docker, Kubernetes
- Infrastructure & CI/CD: Terraform/CloudFormation, Jenkins/GitHub Actions
- Knowledge of model governance, access control, data security, and compliance practices
Experience: 8+ years in software/ML engineering with strong experience in cloud-based ML deployments and governance practices.
For applications and inquiries, contact: [email protected]
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