Data Scientist

Role Overview:

Youll lead efforts in developing, training, and deploying machine learning models with a focus on data processing and computer vision. Using your expertise in Python, OpenCV, and other advanced tools, you will work on complex data science projects and help us push the boundaries of AI technology.

• Data Modelling & Processi

  Leverage OpenCV and advanced computer vision techniques for tasks like image recognition, object detection, and OCR.

• Model Development:

  Design, build, and train machine learning models using deep learning frameworks such as TensorFlow, PyTorch, and Keras.

• Computer Vision Projects:

  Leverage OpenCV and advanced computer vision techniques for tasks like image recognition, object detection, and OCR.

• ML Algorithms & Frameworks:

  Implement ML algorithms and leverage frameworks for NLP, computer vision, and other AI projects.

• Testing & Experimentation:

  Conduct machine learning tests and experiments, refining models based on performance metrics.

• API Development:

  Utilize Flask or Django to create APIs for model integration with applications.

• Data Annotation & Augmentation:

  Apply data augmentation techniques for robust model performance, especially in image-based datasets.

• Collaboration & Reporting:

  Work closely with cross-functional teams and provide detailed insights on model performance and data metrics.

Technical Skills Required:

• Programming Languages:

  Proficiency in Python, with strong skills in C/C++ for performance-based applications.

• ML Frameworks:

  Expertise in TensorFlow, PyTorch, and Keras.

• Libraries & Tools:

  Strong command of OpenCV, Numpy, Scikit-learn, and Matplotlib.

• Data Handling & Processing:

  Hands-on experience with data processing tools such as Pandas and SQL.

• Natural Language Processing (NLP):

  Experience with NLP techniques using libraries like NLTK.

• Web Scraping & Automation:

  Familiarity with Beautiful Soup for data extraction and Selenium for automation.

• Software Development Tools:

  Knowledge of Django, Flask, Jupyter Notebook, and Linux environments.

• Analytical Skills:

  Strong understanding of optimization techniques, regularization methods, and model architecture.

Qualifications:

• Bachelors degree in Computer Science, Engineering, or a related field.
• 2-4 years of experience in data science, machine learning, and model development.
• Demonstrated expertise in computer vision and natural language processing.
• Strong problem-solving and communication skills for cross-functional collaboration.

Why Join Us?

• Cutting-Edge Projects:

  Work on innovative AI and machine learning projects.

• Professional Growth:

  Access to training and career advancement.

• Dynamic Environment:

  Collaborate with a team passionate about data and technology.