Data Science Engineer (AWS)

Vaiticka Solution; Houston (TX); On-site; USD 100,000 - 130,000; Full time

Job summary

A leading technology firm is on the lookout for a skilled Data Science (AWS) Python + AI Engineer to design, develop, and deploy AI-driven applications in cloud environments. Candidates should have robust hands-on experience with Python, ML frameworks, and AWS services for effective cloud-native solutions. The role requires optimizing data pipelines, developing scalable backend services, and ensuring high performance and security. Experience with Java and Terraform will be considered an advantage.

Qualifications

• Strong hands-on experience in Python and machine learning/AI frameworks.
• Experience with AWS cloud services is essential.
• Experience with Java and Terraform is a plus.

Responsibilities

• Develop, train, and deploy ML/AI models using various frameworks.
• Design and optimize data pipelines for model training and inference.
• Build scalable APIs and backend services using Python.

Skills

Python

Machine Learning

AWS Cloud Services

Java

Terraform

Tools

TensorFlow

PyTorch

Scikit-learn

Hugging Face

FastAPI

Flask

Django

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.

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.