Intelligent System Developer

6 days ago

Jodhpur, India beBeeMachineLearning Full time

About the RoleWe are seeking a skilled Machine Learning Engineer to join our team. As a key member of our engineering department, you will be responsible for building and operating training/serving systems and data pipelines for ML/LLM powered applications in the fintech domain.This is a challenging opportunity for someone who is passionate about using machine learning to drive business impact. You will work closely with our cross-functional teams to design, build, and deploy large-scale machine learning models that provide real-time prediction services.As an experienced machine learning engineer, you will have a strong background in designing and building data pipelines for large-scale data using Hadoop Ecosystem in a cloud environment. You will also have experience managing model versions and deployments while continuously updating one or more ML-powered applications.Your expertise in operating ML Products that provide real-time prediction services will enable us to deliver innovative solutions to our customers. We are looking for someone who is self-motivated, has excellent problem-solving skills, and can work effectively in a fast-paced environment.Key Responsibilities:Leading 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 versionsRequirements:Fluent 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 solutions and cloud services for model serving

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