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Remote mid-level AI role with popular title increases applicant density.
Core ML skills transfer broadly, but insurance domain knowledge moderately increases fit sensitivity.
Requires 2-4 years, strong Python and ML framework skills, and preferred premier-institute degree.
Develop and deploy machine learning solutions across the life insurance value chain to support business operations.
Work with large data sets to generate insights, validate hypotheses, and support business model decisions.
Monitor and ensure model performance, explore new AI techniques, and present findings to key business stakeholders.
2-4 years of hands-on experience in building and deploying machine learning models.
Masters degree (MTech/ME/MSC) in Computer Science, IT, or quantitative discipline from Tier 1/2 institutes such as IIT, IIIT, NIT, BITS.
Proficient in Python programming; experience with machine learning libraries like PySpark, Scikit-learn, TensorFlow.
Experience with end-to-end deployment of supervised and unsupervised ML algorithms (e.g., Logistic Regression, Random Forest, SVM, XGBoost).
Experienced in developing AI/ML technologies with strong mathematical and algorithmic foundations.
Capable of working independently in a lean team and delivering in a fast-paced environment with minimal guidance.
Familiarity with cloud infrastructure and high-performance computing (GPU/TPU) is advantageous but not explicitly required.