INTERN

Role Overview

We are seeking a highly skilled and motivated AWS, Python, and AI/ML Engineer to join our innovative technology team. In this role, you will design, develop, and deploy scalable cloud-based solutions leveraging AWS infrastructure, Python programming, and cutting-edge artificial intelligence and machine learning techniques.

Responsibilities

• Design, develop, and maintain scalable applications using Python within AWS environments.
• Build, train, and deploy machine learning models using frameworks such as TensorFlow, PyTorch, or Scikit-learn.
• Optimize AI/ML pipelines for performance, accuracy, and efficiency in production.
• Utilize AWS services including EC2, S3, Lambda, SageMaker, and CloudFormation for infrastructure and model deployment.
• Implement data ingestion, preprocessing, and feature engineering workflows for ML applications.
• Collaborate with data scientists, software engineers, and product teams to integrate AI capabilities into existing systems.
• Monitor, troubleshoot, and improve model performance and system reliability in production.
• Document architecture, code, and deployment processes to ensure maintainability and knowledge sharing.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field.
• Proven experience with Python and object-oriented programming principles.
• Hands-on experience with AWS cloud services and infrastructure as code (IaC).
• Strong understanding of AI/ML concepts, including supervised and unsupervised learning, deep learning, and model evaluation.
• Experience deploying ML models using AWS SageMaker or similar platforms.
• Familiarity with data pipelines, ETL processes, and working with large datasets.
• Knowledge of version control (e.g., Git) and CI/CD practices.
• Excellent problem-solving skills and ability to work independently and collaboratively.

Skills

• Python
• AWS
• TensorFlow
• PyTorch
• SageMaker