About the Opportunity:

• We’re looking for a motivated and curious Software Development Engineer I (SDE I) to join our engineering team.
• You’ll work on production-grade systems, learn modern DevOps practices, and support real-world machine learning integrations.
• A great opportunity to strengthen your backend fundamentals while gaining hands-on experience in DevOps and ML.

Responsibilities of the Intern:

• Backend Development
  • Assist in designing and building scalable APIs and backend services.
  • Write clean, maintainable, and testable code in Python (Django/Flask) and JavaScript (Node.js).
  • Participate in code reviews and help improve system design and performance.
  • Work with relational and NoSQL databases, including schema changes and optimization.
• DevOps & Infrastructure
  • Help maintain and enhance CI/CD pipelines and deployment workflows.
  • Hands-on with containerization (Docker) and cloud infrastructure (AWS/GCP/Digital Ocean).
  • Monitor application health, log performance metrics, and contribute to reliability improvements.
• ML & Advanced Integrations
  • Support integration of ML models and APIs (e.g., OpenCV, LLMs like OpenAI).
  • Assist in model deployment, testing, and performance tuning in production environments.
  • Collaborate with ML engineers and gain exposure to real-world machine learning systems.

Requirements:

• Strong foundational knowledge in data structures, algorithms, and software design.
• Proficient in Python.
• Familiarity with Docker, Git, and REST APIs.
• Interest in cloud platforms (AWS/GCP/Digital Ocean), CI/CD, and infrastructure tools.
• Eagerness to learn about machine learning applications and integrations.
• Strong problem-solving and collaboration skills.

Nice to Have:

• Personal or academic projects involving OpenCV, ML APIs, or backend systems.
• Experience working with cloud platforms (even in internships or personal projects).
• Exposure to frontend technologies (e.g., React, Vue) is a plus, but not required.

Who Can Apply:

• Will graduate in 2026 and later
• Are available to start the work from home internship immediately for a duration of 6 months
• Can give 42 hours per week to the internship
• Have relevant skills and interests