Vaiticka Solution
Data Science Engineer (AWS)
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Science Engineer (AWS) in Houston, TX, on a contract basis. Key skills include Python, AWS services, and machine learning frameworks. Experience with Java and Terraform is preferred. Contract length and pay rate are unspecified.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
440
-
🗓️ - Date
March 26, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
Hybrid
-
📄 - Contract
Unknown
-
🔒 - Security
Unknown
-
📍 - Location detailed
Houston, TX
-
🧠 - Skills detailed
#SageMaker #Data Science #Security #Hugging Face #S3 (Amazon Simple Storage Service) #Scala #Data Pipeline #Java #Monitoring #Cloud #Lambda (AWS Lambda) #Terraform #EC2 #Deployment #TensorFlow #Logging #Microservices #"ETL (Extract #Transform #Load)" #Data Processing #API (Application Programming Interface) #AI (Artificial Intelligence) #Django #PyTorch #ML (Machine Learning) #DynamoDB #FastAPI #Python #Flask #AWS (Amazon Web Services)
Role description
Position: Data Science Engineer (AWS)
Location: Houston, TX (Hybrid)
Employment: Contract
Job Description:
We are seeking a highly skilled Data Science (AWS) Python + AI Engineer to design, develop, and deploy scalable AI‑driven applications on cloud environments. The ideal candidate will have strong hands‑on experience in Python, machine learning/AI frameworks, and AWS cloud services. Experience with Java and Terraform is a strong plus.
Responsibilities: -
• AI / Machine Learning Develop, train, and deploy ML/AI models using frameworks such as TensorFlow, PyTorch, Scikit‑learn, Hugging Face, etc.
• Design and optimize data pipelines for model training and inference.
• Work with LLMs, embeddings, RAG architectures, or generative AI workflows (optional but preferred).
• Backend & Python Development Build scalable APIs and backend services using Python (FastAPI, Flask, Django or similar).
• Implement robust data processing, validation, and transformation logic.
• Ensure high performance, security, and maintainability of codebase.
• AWS Cloud Engineering.
Mandatory skills
• Python: Design and deploy cloud‑native microservices and AI workloads using AWS services such as: SageMaker, Lambda, EC2, S3, Step Functions, DynamoDB, API Gateway, ECS/EKS Implement monitoring, logging, and automated deployment pipelines.
Position: Data Science Engineer (AWS)
Location: Houston, TX (Hybrid)
Employment: Contract
Job Description:
We are seeking a highly skilled Data Science (AWS) Python + AI Engineer to design, develop, and deploy scalable AI‑driven applications on cloud environments. The ideal candidate will have strong hands‑on experience in Python, machine learning/AI frameworks, and AWS cloud services. Experience with Java and Terraform is a strong plus.
Responsibilities: -
• AI / Machine Learning Develop, train, and deploy ML/AI models using frameworks such as TensorFlow, PyTorch, Scikit‑learn, Hugging Face, etc.
• Design and optimize data pipelines for model training and inference.
• Work with LLMs, embeddings, RAG architectures, or generative AI workflows (optional but preferred).
• Backend & Python Development Build scalable APIs and backend services using Python (FastAPI, Flask, Django or similar).
• Implement robust data processing, validation, and transformation logic.
• Ensure high performance, security, and maintainability of codebase.
• AWS Cloud Engineering.
Mandatory skills
• Python: Design and deploy cloud‑native microservices and AI workloads using AWS services such as: SageMaker, Lambda, EC2, S3, Step Functions, DynamoDB, API Gateway, ECS/EKS Implement monitoring, logging, and automated deployment pipelines.
