Computer Vision Engineer

Company Overview:

FlickIt is a leading innovator in [industry, e.g., AI, technology, robotics], committed to developing cutting-edge solutions that transform how businesses and consumers interact with visual data. Our team of passionate engineers, researchers, and developers works collaboratively to push the boundaries of what's possible in computer vision and AI.

Job Summary:

We are seeking a skilled Computer Vision Engineer with 2+ years of experience to join our dynamic team. In this role, you will be responsible for designing, developing, and deploying computer vision algorithms and systems to solve complex real-world problems. You will collaborate with cross-functional teams to integrate these solutions into products and services that reach a global audience.

Key Responsibilities:
 Develop and optimize computer vision algorithms for tasks such as object detection, image classification, segmentation, and recognition.
 Implement and test machine learning models using frameworks such as TensorFlow, PyTorch, or OpenCV.
 Collaborate with software engineers, data scientists, and product managers to integrate computer vision solutions into applications and services.
 Analyze and process large datasets to train, validate, and improve models.
 Research and stay up-to-date with the latest advancements in computer vision and machine learning.
 Debug and troubleshoot issues related to performance, accuracy, and scalability of the computer vision systems.
 Document and present findings, designs, and code to stakeholders and team members.

Qualifications:
 Bachelors or Masters degree in Computer Science, Electrical Engineering, or a related field.
 2+ years of experience in computer vision, image processing, or related areas.
 Proficiency in programming languages such as Python, C++, or Java.
 Experience with machine learning frameworks like TensorFlow, PyTorch, or similar.
 Familiarity with computer vision libraries such as OpenCV, Dlib, or Scikit-Image.
 Strong mathematical and analytical skills, with a solid understanding of linear algebra, probability, and statistics.
 Experience working with GPUs and optimization techniques for real-time performance is a plus.
 Excellent problem-solving skills and attention to detail.
 Ability to work independently as well as in a team environment.

Preferred Skills:
 Experience with deep learning techniques for vision tasks, including CNNs, RNNs, GANs, etc.
 Knowledge of cloud platforms like AWS, Google Cloud, or Azure.
 Experience with 3D computer vision, AR/VR, or robotics.
 Familiarity with version control systems like Git.

What We Offer:
 Competitive salary and benefits package.
 Opportunity to work on challenging and cutting-edge projects.
 Collaborative and innovative work environment.
 Career growth and professional development opportunities.,