Walk-in || Project Engineer - CV

We are looking for a passionate ML/CV engineer who is eager to build AI-powered solutions using Deep Learning and Computer Vision techniques. You will work closely with senior data scientists and engineers to develop, train, evaluate, and deploy computer vision models for real-world computer vision applications. This role offers an excellent opportunity to gain hands-on experience with modern deep learning frameworks, production AI systems, and large-scale datasets.

Key Responsibilities

• Build Computer Vision Models: Develop and improve models for: Image Classification, Object Detection, Segmentation, Tracking, ViT, VLM, etc.
• Data Preparation and Analysis: Collect, clean, label, and analyse image datasets. Perform exploratory analysis on image data. Identify data quality issues and improve dataset reliability.
• Model Training and Evaluation: Train and fine-tune deep learning models using modern frameworks. Evaluate model performance using appropriate metrics. Conduct experiments and benchmark different approaches.
• Research and Innovation: Read and implement research papers and open-source solutions. Stay updated with advancements in Computer Vision and AI. Experiment with new architectures and techniques.
• Production Support: Collaborate with engineering teams to deploy and monitor models. Assist in optimizing model performance for production environments. Support API integration and model inference pipelines.
• Documentation and Collaboration: Document experiments, findings, and model performance. Work closely with product, engineering, and senior data science teams.
  
  

Experience/Education

BE / BTech / ME / MTech / in Computer Science, Electronics & Electrical Engineering, Artificial Intelligence, Robotics or related fields.

1 to 3 years of experience in Computer Vision, AI, or Machine Learning.

Technical Skills

• Strong understanding of Machine Learning and Deep Learning fundamentals.
• Good knowledge of Computer Vision concepts.
• Strong programming proficiency in Python, C++ and OpenCV.
• Deep, practical experience with at least one major deep learning framework: Pytorch, Tensorflow, etc.
• Strong analytical and debugging skills.
• A solid foundation in math particularly linear algebra, calculus, probability/statistics is vital.
• Curiosity to learn and explore new technologies.