AI Engineering Leader

5 days ago


davangere, India beBeeMachineLearning Full time

About the RoleAs a Senior AI ML Engineer, you will be responsible for building and operating training/serving systems and data pipelines for ML/LLM powered applications in the fintech domain.: You will lead actual business impact by training/deploying ML models, train ML/LLM models in production level, build and operate data pipelines and feature stores for training and serving ML/LLM models, build and operate ML/LLM model serving systems, build and operate monitoring systems for ML/LLM powered applications, manage and deploy ML/LLM model versions.Design and build scalable data pipelines using Hadoop Ecosystem in a cloud environment.Manage model versions and deployments while continuously updating one or more ML-powered applications.Operate ML Products that provide real-time prediction services.Experience with open source (Triton, torchserve, BentoML, ONNX, etc.) and cloud solutions (AWS Sagemaker Endpoint, GCP Vertex AI, etc.) for model serving.RequirementsThe ideal candidate should have experience in:Fluent in Python.Designing and building data pipelines for large-scale data.Managing model versions and deployments.Operating ML Products that provide real-time prediction services.Experience with Pyspark and Polars in large-scale projects.Experience with AWS ML-related services (EMR, Glue, Sagemaker, Athena, etc.).Optimizing high-performance models using GPU.Preferred QualificationsThe following qualifications are preferred but not required:Experience on designing and building data pipelines for large-scale data using Hadoop Ecosystem in a cloud environment.Experience managing model versions and deployments while continuously updating one or more ML-powered applications.



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