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Entry-level ML role, metro Hyderabad, generalist requirements and broad skillset increase competition.
Core ML and Python skills are highly transferable across industries despite insurance domain context.
Explicit 0-2 years plus required ML libraries and Azure preference create moderate shortlisting filters.
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Support development and testing of AI/ML models and applications including data preprocessing, feature engineering, and model evaluation.
Assist in deployment, monitoring, and MLOps activities under senior engineer guidance.
Perform debugging, documentation, and continuous improvement for AI/ML workflows.
0-2 years of experience in AI/ML or related field.
Basic understanding of Machine Learning concepts and model evaluation metrics (accuracy, precision, recall, F1-score).
Practical knowledge of Python, SQL, and ML libraries such as Scikit-learn or TensorFlow.
Location requirement: Hyderabad, India (Full-time).
Foundational experience with AI/ML model lifecycle including data preparation and testing.
Familiarity with MLOps concepts including deployment, monitoring, CI/CD pipelines.
Early-career engineer comfortable with collaborative environments and continuous learning.