Data Scientist

Description

Seeking a skilled and innovative Computer Vision Engineer to design, develop, and implement computer vision algorithms and systems. The successful candidate will be involved in all stages of algorithm development from the initial concept and design, through to implementation, testing, and deployment.
Strong programming skills in Python.
Experience with Alteryx
Experience with machine learning frameworks (e.g., TensorFlow, PyTorch) and computer vision libraries (e.g., OpenCV).
Proven ability to develop and implement computer vision algorithms.
Excellent problem-solving and analytical skills.
Exposure to machine learning deployment tools like Docker, Kubernetes, etc. is beneficial.
Experience with deploying modules in cloud environment.
Experience with version control tools such as Git.

Responsibilities

• Research, analyze, and develop computer vision algorithms for image and video processing, object detection, recognition, tracking, and classification.
• Optimize and enhance existing computer vision models and systems for better accuracy and efficiency.
• Create and Deploy ETL workflows using Alteryx
• Collaborate with cross-functional teams including software engineers, machine learning experts, and product managers to integrate computer vision technology into products and services.
• Experiment with new and emerging technologies to solve complex real-world problems using computer vision techniques
• Collect, clean, and preprocess visual data to be used in machine learning model training.
• Stay up to date with the latest developments in machine learning and computer vision research.
• Write reusable, testable, and efficient code.
• Document the development process, algorithm details, and project results for internal and external stakeholders.
• Deploy modules in AWS/Azure Cloud environment.