Job Title: Python + AI + AWS Engineer

Company Name: VeeRteq Solutions Inc.

Job Url: https://www.simplyhired.com/job/ApxBiQVxr4eTViiR0VcP8NSQlyIYn-sKm0FQ_mPYJjX4K2PGplrn5A

Job Description: Python + AI + AWS Engineer
VeeRteq Solutions Inc.
Houston, IL

Job Details
4 hours ago
Qualifications
TensorFlow
Data transformation pipeline development
PyTorch
Infrastructure as Code (IaC)
Bachelor of Science
Engineering
Amazon ECS
Amazon SageMaker
Scalable systems
Java
Automating deployment processes
Microservices
Bachelor’s degree in engineering
Docker
Bachelor's degree
Model deployment
Master of Science
Terraform
Implementing APIs
Django
Cloud Native Design
Scalability
Developing and maintaining backend systems
Model training
S3
Data validation
DynamoDB
Machine learning libraries
Flask
Senior level
AI
Machine learning frameworks
Implementing cost-saving initiatives
Amazon EKS
Generative AI
AWS Lambda
Full Job Description
We are seeking a highly skilled Python + AI + AWS 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.
Experience: -

8+ Years

Location: -

Houston (3 days/Week) First Priority for local candidates

Educational Qualifications: -

Engineering Degree BE/ME/BTech/MTech/BSc/MSc.
Technical certification in multiple technologies is desirable.

Skills: -

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.

Ensure best practices for cost optimization, reliability, and security

Good-to-Have Skills

Knowledge of Java for supporting or integrating with existing microservices.
Working experience with Terraform for Infrastructure as Code (IaC).
Experience with containerization (Docker) and orchestration (Kubernetes)