Machine Learning Intern

About WiredLeap Technology

WiredLeap specializes in high-performance Vision Analytics and Intelligent Systems. We focus on transitioning deep learning research into real-world applications, specifically for Intelligent Traffic Management Systems (ITMS) and Public Safety. Our solutions are deployed on bare-metal servers and edge devices to solve complex urban challenges.

The Role

We are looking for a Machine Learning Intern to join our development team. In this role, you will work on the full ML lifecycle—from dataset curation and image processing to deploying optimized inference engines. This position requires a deployment-oriented mindset and the flexibility to travel for on-site project implementation and testing.

Key Responsibilities

• Model Development: Support the design and training of architectures including CNNs, RNNs, and VLLMs for Object Detection and Behavior Analytics.
• Pipeline Management: Assist in building end-to-end pipelines, including image processing, data augmentation, and inference logic.
• Tools & Dashboards: Develop internal tools and data visualizations using Streamlit or similar frameworks.
• Field Deployment: Participate in on-site system calibration and testing on edge hardware across various locations.

Technical Requirements

• Proficiency in Python and Strong coding skills with a focus on PyTorch.
• Solid understanding of CNNs, RNNs, and fundamental Image Processing techniques.
• Experience or familiarity with NVIDIA-based compute environments.
• Comfortable working within Ubuntu environments and managing remote servers via CLI.

Nice to Have

• Familiarity with Docker for containerized deployment.
• Basic understanding of VLLMs or AI Agent orchestration.
• Experience with version control (Git) in a collaborative environment.
• Prior exposure to ONNX or other model conversion formats.

Who You Are

We are looking for a practical, engineer-at-heart who understands that high-quality data is just as critical as model architecture. You are an AI-augmented developer who is a master at leveraging LLMs and modern AI tools to accelerate your workflow, debugging, and overall productivity. Rather than focusing on writing the fewest lines of code, you prioritize building functional, robust, and maintainable systems. You thrive in agile environments with short development cycles and are comfortable with the physical aspects of the job, including traveling to various Indian cities for hands-on field testing and deployment.

Perks

• Practical experience with production-grade Edge AI systems.
• Mentorship from experienced AI/ML engineers.
• Internship Certificate and Letter of Recommendation.
• Potential for transition to a full-time position based on performance.

Internship Details

• Duration: 6 months (full-time internship)
• Compensation: Paid internship (competitive stipend)
• Full-Time Opportunity: Offered based on performance