Data Scientist

Role & responsibilities

• Educational Qualifications:
  o B.E./B.Tech/M.Tech/MCA in Computer Science, Electronics & Communication, Electrical Engineering, or a related field.
  o A masters degree in computer science, Artificial Intelligence, or a specialization in Deep Learning or Computer Vision is highly preferred.
  • Experience:
  o 4–6 years of IT experience, with a minimum of 3+ years in data science
  o Proven experience in designing and deploying deep learning models, particularly in computer vision applications such as image classification, object detection, segmentation, and video analytics.
  • Technical Skills:
  o Strong programming skills in Python, with hands-on experience in deep learning frameworks like TensorFlow, PyTorch, or Keras.
  o Familiarity with Databricks notebooks, MLflow, and Delta Lake for scalable machine learning workflows.
  o Experience with MLOps best practices, including model versioning, CI/CD pipelines, and automated deployment.
  o Proficiency in data preprocessing, augmentation, and handling large-scale image/video datasets.
  o Solid understanding of computer vision algorithms, including CNNs, transfer learning, and transformer-based vision models (e.g., ViT).
  o Exposure to natural language processing (NLP) techniques is a plus.
  • Cloud & Infrastructure:
  o Strong expertise in Azure cloud ecosystem,
  o Experience working in UNIX/Linux environments and using command-line tools for automation and scripting.
  • Soft Skills:
  o Strong analytical and problem-solving abilities.
  o Excellent communication skills—interpersonal, written, visual (presentations), and verbal.
  o Ability to collaborate effectively across cross-functional teams and mentor junior team members.