Data Scientist

As a Data Scientist at our company, you will play a crucial role in designing and deploying deep learning models, with a focus on computer vision applications such as image classification, object detection, segmentation, and video analytics. Your expertise in Python and deep learning frameworks like TensorFlow, PyTorch, or Keras will be essential for this role. Additionally, your familiarity with tools like Databricks notebooks, MLflow, and Delta Lake will enable you to work on scalable machine learning workflows effectively. Key Responsibilities: - Design and deploy deep learning models for computer vision applications - Utilize Python programming skills for implementing algorithms - Work with deep learning frameworks like TensorFlow, PyTorch, or Keras - Collaborate with teams on data preprocessing, augmentation, and handling large-scale image/video datasets - Implement computer vision algorithms including CNNs, transfer learning, and transformer-based vision models - Participate in MLOps best practices such as model versioning, CI/CD pipelines, and automated deployment - Demonstrate expertise in Azure cloud ecosystem and UNIX/Linux environments Qualifications Required: - B.E./B.Tech/M.Tech/MCA in Computer Science, Electronics & Communication, Electrical Engineering, or a related field - Master's degree in computer science, Artificial Intelligence, or specialization in Deep Learning or Computer Vision (preferred) - 4 to 6 years of IT experience with a minimum of 3+ years in data science - Strong programming skills in Python - Experience with deep learning frameworks like TensorFlow, PyTorch, or Keras - Familiarity with Databricks notebooks, MLflow, and Delta Lake - Proficiency in data preprocessing, augmentation, and handling large-scale image/video datasets - Solid understanding of computer vision algorithms In this role, your expertise in data science and deep learning will be crucial in contributing to our innovative projects. Your ability to work with cutting-edge technologies and frameworks will be instrumental in driving the success of our team.,