Artificial Intelligence Machine Learning Professional

1 week ago

Malappuram, India beBeeMachineLearning Full time

About usBalancehero India Pvt. Ltd. is a wholly-owned subsidiary of Balancehero Co. Ltd., Korea.Founded by Charlie Lee in Korea in 2014, we started our operations in India in the year 2016.We started off as a balance check application and have expanded our business model to financial services.The company aims to build a financial platform for the next billion which sets the context for loans, utility services, pay later services, and commerce services.Our wholly-owned subsidiary True Credits Private Limited, is a licensed NBFC that aims to bridge the financial gap in India by making Finance available for all.True Credits lends through the True Balance mobile application.Owned and operated by us, True Balance is an RBI authorized Prepaid Payment Instrument (PPI) issuing entity.We offer loans through our subsidiary and RBI licensed Non-Banking Financial Company - True Credits Private Limited and other RBI licensed partners.Founded in 2016, as a mobile app for users in India to efficiently manage their phone calls and data usage, True Balance is now India's one of the top financial services platforms providing solutions to all the financial needs of its users - from obtaining instant loans, paying utility bills to do prepaid recharges seamlessly.To date, we have raised more than US$84 million in equity funding from marquee global investors like Softbank, Naver, and Line to name a few.The company aims to become the go-to financial services platform for the next billion people in India, playing a key role in the nationwide push towards the goal of Digital India and advancing financial inclusion amongst the unbanked and underbanked people.Job Title:Senior AI ML EngineerExperience:7 years+Location:GurgaonAbout the RoleOur team builds and operates training/serving systems and data pipelines for ML/LLM powered applications in the fintech domain.About the ResponsibilitiesLeading actual business impact by training/deploying ML modelsTraining ML/LLM models in production levelBuilding and operating data pipelines and feature stores for training and serving ML/LLM modelsBuilding and operating ML/LLM model serving systemsBuilding and operating monitoring systems for ML/LLM powered applicationsManaging and deploying ML/LLM model versionsRequirementsFluent in PythonExperience on designing and building data pipelines for large-scale data using Hadoop Ecosystem in a cloud environmentExperience on managing model versions and deployments while continuously updating one or more ML-powered applicationsExperience on operating ML Products that provide real-time prediction servicesExperience on open source (Triton, torchserve, BentoML, ONNX, etc.) and cloud solutions (AWS Sagemaker Endpoint, GCP Vertex AI, etc.) for model servingPreferred qualificationExperience on Pyspark and Polars in large scale projectExperience on AWS ML-related services (EMR, Glue, Sagemaker, Athena, etc.Experience optimizing high-performance models using GPU

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