Hyderabad, Telangana, India Post Date: September 15, 2023 Full Time
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Develop methods for efficient transfer and processing of structured and unstructured data from product data stores.
Conduct rigorous Testing and Validation of models, ensuring accuracy, reliability, and scalability in real-world lending scenarios.
Drive end-to-end model deployment, working closely with software engineers to integrate models into production systems and monitor their performance.
Deploy ML models into production using cutting-edge deployment strategies, and conduct A/B tests to objectively measure improvements and Continuously monitor and evaluate model performance and provide insights into the model.
Keep innovating and optimising the machine learning workflow, from data exploration, and model experimentation/prototyping to production.
Apply cutting-edge technologies and toolchains in big data and machine learning to build a machine learning platform on Cloud (ML ops).
Experience with unstructured data like images & text is a plus
Minimum 4+ years of total working experience with Machine Learning, Statistical Modelling, and Statistical Analysis.
Strong in data structures and algorithms, with excellent problem-solving ability and programming skills.
Experience in applied machine learning, familiar with one or more of the algorithms such as ML Modeling and validation, Model Experimentation & Testing, Drawing Inferences and Insights etc.
Experience in Java/ Python; at least one of the Big Data tools (For eg. Hive SQL/ Spark/ MapReduce; at least one of the ML libraries (e. g. sci-kit-learn, TensorFlow, PyTorch)
Experience in Develop reusable ML models and ensure scalability and modernisation, Model Validation, Experimentation, Deployment & Testing
Possess strong communication skills, positive mindset, good teamwork skills, and eagerness to learn/implement new technology and experiment.