Senior GenAI & MLOps Engineer

Job Title: Sr. Engineer – GenAI & MLOps (AWS)

Location: Atlanta, GA (Remote, Occasionally Onsite Twice a Month)

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.