Openkyber
AWS Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an AWS Data Engineer with a long-term contract in Atlanta, GA, offering a competitive pay rate. Key skills include Generative AI, MLOps, AWS services, Python, and containerization. Requires 8+ years in software/ML engineering. Remote work available.
🌎 - Country
United States
💱 - Currency
Unknown
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💰 - Day rate
Unknown
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🗓️ - Date
February 19, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
Remote
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Alaska
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🧠 - Skills detailed
#Lambda (AWS Lambda) #ML (Machine Learning) #IAM (Identity and Access Management) #Data Engineering #S3 (Amazon Simple Storage Service) #Python #Compliance #SageMaker #Security #Cloud #TensorFlow #Programming #Kubernetes #Deployment #Data Security #AI (Artificial Intelligence) #AWS (Amazon Web Services) #Docker #FastAPI #API (Application Programming Interface) #Jenkins #PyTorch #GitHub #Langchain #Flask #Terraform
Role description
Job Title: Sr Engineer GenAI & MLOps (AWS) Location: Atlanta, GA Duration: Long Term Contract 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: hirings@openkyber.com
Job Title: Sr Engineer GenAI & MLOps (AWS) Location: Atlanta, GA Duration: Long Term Contract 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: hirings@openkyber.com
