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Tranzeal - Data Scientist - Computer Vision

TranzealBangalore
Full-timeSenior
👁️ 0 views📝 0 applicationsPosted 9/1/2026Expires 10/5/2026
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Job Description

Experience: 4-7 Yrs Location: Bangalore, ITPL Mode of Work: Onsite, 4 Days/ Week Budget: 20-22 LPA Bangalore-based candidates preferred. Educational Qualifications: - 1. B.E./B.Tech/M.Tech/MCA in Computer Science, Electronics & Communication, Electrical Engineering, or a related field. - 2. A master's degree in computer science, Artificial Intelligence, or a specialization in Deep Learning or Computer Vision is highly preferred. Experience: - 1. 46 years of IT experience, with a minimum of 3+ years in data science. - 2. 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: - 1. Strong programming skills in Python, with hands-on experience in deep learning frameworks like TensorFlow, PyTorch, or Keras. - 2. Familiarity with Databricks notebooks, MLflow, and Delta Lake for scalable machine learning workflows. - 3. Experience with MLOps best practices, including model versioning, CI/CD pipelines, and automated deployment. - 4. Proficiency in data preprocessing, augmentation, and handling large-scale image/video datasets. - 5. Solid understanding of computer vision algorithms, including CNNs, transfer learning, and transformer-based vision models (e.g., ViT). - 6. Exposure to natural language processing (NLP) techniques is a plus. Cloud & Infrastructure: - 1. Strong expertise in Azure cloud ecosystem. - 2. Experience working in UNIX/Linux environments and using command-line tools for automation and scripting. Soft Skills: - 1. Strong analytical and problem-solving abilities. - 2. Excellent communication skillsinterpersonal, written, visual (presentations), and verbal. - 3. Ability to collaborate effectively across cross-functional teams and mentor junior team members.

Required Skills

AzureBudgetingCI/CDCross-functional CollaborationData ScienceDeep LearningElectrical EngineeringLinuxMachine LearningNLPProblem SolvingPythonPyTorchTensorFlow

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