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 Robust 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 settings and using command-line tools for automation and scripting.
• Soft Skills:
o Robust analytical and problem-solving abilities.
o Excellent communication skillsinterpersonal, written, visual (presentations), and verbal.
o Ability to collaborate effectively across cross-functional teams and mentor junior team members.
Important: Candidates must be comfortable with 4 days WFO at ITPL and attending the in-person final interview