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.
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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.