Train, fine-tune, and evaluate machine learning models with a focus on legal and administrative datasets
Design and implement optimization strategies to improve model performance and generalizability
Conduct experiments to compare models, hyperparameters, and techniques
Collaborate with the AI Architect and MLOps Engineers on model deployment and monitoring
Document model performance, tuning parameters, and experiment outcomes for traceability
Degree in Computer Science, Data Science, AI, or related field
Minimum of 2 years of professional experience in machine learning model development
Strong proficiency in Python and ML frameworks such as PyTorch, TensorFlow, or Scikit-learn
Experience with model evaluation techniques and performance metrics
Knowledge of regularization, cross-validation, hyperparameter tuning, and model selection
Understanding of the ML lifecycle and integration with MLOps tools
Preferred Experience
Experience in legal tech, administrative processes, or public sector ML use cases
Familiarity with NLP models (e.g., transformers, LLMs) and structured/unstructured data handling
Aristocrat IT Solutions Pvt. Ltd.
Tether.io
Genesis Tech
e2f, inc.
Effizient Inc.