Python Developer with Computer Vision

Job Description

Job Description We are hiring a Computer Vision Engineer who is not only skilled in the theoretical aspects of AI/ML but can demonstrate strong coding capabilities, especially in Python , through hands-on problem-solving. This role is critical to real-time, production-grade system development and requires practical experience with Triton Inference Server , NVIDIA DeepStream , and end-to-end model deployment. Key Responsibilities Develop and deploy computer vision applications for real-world use cases like object detection , action recognition , and multi-camera human tracking . Write robust, testable Python code and implement real-time inference pipelines. Optimize ML models using Triton Inference Server and integrate them with NVIDIA DeepStream SDK . Troubleshoot model deployment issues and tune models for production scalability. Collaborate with ML engineers, data scientists, and DevOps for solution delivery. Ensure deliverables meet quality benchmarks through code reviews and performance analysis. Required Qualifications Minimum 4 years of solid hands-on experience in Python – must be able to solve real coding problems without assistance. At least 3 years of experience working in computer vision projects. Deep expertise in object detection , action recognition , and human tracking from multiple cameras . Strong knowledge of Machine Learning concepts : Overfitting, Underfitting, TP/FN, Precision, Recall, etc. Proven experience with Triton Inference Server and NVIDIA DeepStream for real-time deployment. Familiarity with NumPy , Pandas , Scikit-learn (sklearn) , and related ML libraries. Clear and confident communicator – must be able to explain technical solutions and assessment answers. Additional Information Immediate or short notice availability preferred. Must have strong coding skills in Python – this will be a key focus area during screening and assessments. Show more Show less