Description

Job Description

• 4–6 years of IT experience, with a minimum of 3+ years in data science
• 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

• Strong programming skills in Python, with hands-on experience in deep learning frameworks like TensorFlow, PyTorch, or Keras.
• Familiarity with Databricks notebooks, MLflow, and Delta Lake for scalable machine learning workflows.
• Experience with MLOps best practices, including model versioning, CI/CD pipelines, and automated deployment.
• Proficiency in data preprocessing, augmentation, and handling large-scale image/video datasets.
• Solid understanding of computer vision algorithms, including CNNs, transfer learning, and transformer-based vision models (e.g., ViT).
• Exposure to natural language processing (NLP) techniques is a plus.

Cloud & Infrastructure

• Strong expertise in Azure cloud ecosystem
• Experience working in UNIX/Linux environments and using command-line tools for automation and scripting.

Soft Skills

• Strong analytical and problem-solving abilities.
• Excellent communication skills—interpersonal, written, visual (presentations), and verbal.
• Ability to collaborate effectively across cross-functional teams and mentor junior team members.

Key Skills

Education

Any Graduate