Data Scientist/Computer Vision Engineer

 

Job Overview:

As a Data Scientist specializing in Computer Vision, you will be responsible for developing, implementing and optimizing computer vision algorithms and models. You will work on a variety of projects that involve image and video analysis, leveraging your expertise to extract meaningful insights and create innovative solutions. The ideal candidate will have a strong background in computer vision, machine learning and data science, with a proven track record of successful projects.

 

What will be your responsibilities:

• Algorithm Development: Design, develop and implement computer vision algorithms for image and video analysis, including object & event & change detection, recognition, segmentation and tracking.
• Model Training and Optimization: Train and optimize machine learning models using large datasets, ensuring high accuracy and performance.
• Data Preprocessing: Perform data preprocessing tasks such as image augmentation, normalization and annotation to prepare datasets for training and evaluation.
• Research and Innovation: Stay current with the latest advancements in computer vision and machine learning and apply new techniques to improve existing models and develop new solutions.
• Collaboration: Work closely with data engineers, software developers, product managers and other stakeholders to understand project requirements and deliver effective solutions.
• Performance Evaluation: Evaluate the performance of computer vision models using appropriate metrics and techniques and iteratively improve model accuracy and efficiency.
• Deployment: Collaborate with engineering teams to deploy computer vision models into production environments and ensure their robustness and scalability.
• Documentation: Maintain comprehensive documentation of models, algorithms and processes for future reference and reproducibility.

 

Profile and requirements:

• Education: Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, Data Science, or a related field. A Ph.D. is a plus.
• Experience: 3+ years of experience in data science, with a focus on computer vision.
• Technical Skills:
  • Strong programming skills in Python and C++ and experience with frameworks and libraries such as OpenCV, TensorFlow, TensorRT, PyTorch and Keras.
  • Experience with ML tools such as FiftyOne and annotation tools such as CVAT.
  • Experience with relevant deep learning models such as YOLO.
  • Proficiency in machine learning and deep learning frameworks.
  • Experience with image and video processing techniques.
  • Experience with experimentation platforms such as Jupyter Notebooks.
  • Knowledge of data preprocessing and augmentation techniques for computer vision tasks.
  • Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) and their AI services, with focus on Google Cloud.
  • Experience in getting Machine Learning products to production.
  • Basic knowledge of DevOps best practices and tools: GIT, CI/CD, telemetry and monitoring, etc.
• Analytical Skills: Excellent analytical and problem-solving skills with the ability to design innovative solutions to complex problems.
• Communication: Strong verbal and written communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.
• Collaboration: Ability to work effectively in a collaborative, cross-functional team environment.
• Attention to Detail: High attention to detail and a commitment to ensuring the accuracy and quality of work.
• Adaptability: Ability to thrive in a fast-paced, dynamic environment and manage multiple projects simultaneously.