Job Title

• Educational Qualifications: o B.E./B.Tech/M.Tech/MCA in Computer Science, Electronics & Communication, Electrical Engineering, or a related field. o A master’s 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.