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Metro location plus broad ML skillset increases candidate density despite smaller employer brand.
Specialized ML/AI expertise required but generally transferable across industries with similar data scale.
Explicit 7–8 years requirement plus mandatory deep learning frameworks and Python makes shortlisting strict.
Develop and deploy ML/AI models to meet business needs, focusing on production integration.
Analyze large datasets to derive trends and insights, maintaining ML pipelines and workflows.
Collaborate with data engineers and cross-functional teams to support AI/ML initiatives using frameworks like TensorFlow, PyTorch, or Keras.
7–8 years of experience in AI/ML/Data Science.
Strong hands-on skills in Python, Pandas, Machine Learning, and Statistics.
Experience with deep learning frameworks such as TensorFlow, PyTorch, or Keras.
Bachelor's degree in Computer Science, Mathematics, Statistics, or a related field.
Experienced professional skilled in end-to-end ML model development and production deployment.
Comfortable working with large datasets and building scalable ML pipelines.
Familiar with cross-functional collaboration, integrating AI/ML models, and staying updated on emerging AI/ML technologies.