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)
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