Back
Tier-1 employer, metro location, popular ML role, and broad skillset amplify applicant competition.
Core ML and computer vision skills are highly transferable across industries.
Requires production ML and specific frameworks, but no explicit years, so moderate filtering.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Own end-to-end design and deployment of machine learning and computer vision models, including data analysis, feature engineering, and production maintenance.
Work on multiple projects involving AI/ML solutions both on tabular data and computer vision tasks in professional and production environments.
Leverage skills in Python data libraries and deep learning frameworks (PyTorch, TensorFlow, Keras) to solve complex analytical problems and optimize algorithms.
Professional experience as ML Engineer or Data Scientist with multiple project deployments in machine learning, deep learning, or data modelling.
Proficiency in PyTorch, TensorFlow, or Keras and use of Python data science libraries such as Pandas or Dask.
Bachelor’s or higher degree in computer science, engineering, applied mathematics, economics, physics, statistics, or similar data-intensive disciplines.
Location requirement: Based in Delhi.
Experienced in designing and maintaining production-grade ML/data science systems with strong practical problem-solving skills.
Competent in both computer vision and tabular data AI/ML techniques, demonstrating versatility across data modalities.
Potentially familiar with Indian governance or development sector contexts and knowledge of GIS and SQL is advantageous but not mandatory.