Lead Machine Learning Modeler

2 weeks ago


junagadh, India beBeeModeler Full time

Machine Learning Role OverviewThis role focuses on developing and implementing end-to-end machine learning pipelines for complex business applications.You will be responsible for designing and optimizing ML models using ensemble methods, gradient boosting, and neural networks.The ideal candidate will have expertise in feature engineering, data preprocessing, and validation systems to ensure model reliability in production environments.Additionally, you will deploy ML models using Docker containerization and REST API frameworks, implement model serving solutions on Azure Container Instances with proper monitoring and alerting, and build MLOps pipelines using MLflow for experiment tracking and model registry management.Key Responsibilities:Design and implement end-to-end ML pipelines for recommendation systems, search ranking, and classification problems.Build and optimize traditional ML models using techniques such as ensemble methods, SVMs, gradient boosting, and neural networks.Develop time series forecasting models and ranking algorithms for complex business applications.Implement feature engineering pipelines that handle real-world data noise and edge cases.Create robust data preprocessing and validation systems that ensure model reliability in production.Deploy ML models using Docker containerization and REST API frameworks.Implement model serving solutions on Azure Container Instances with proper monitoring and alerting.Build MLOps pipelines using MLflow for experiment tracking and model registry management.Establish model versioning, rollback strategies, and performance monitoring in production environments.Provide technical guidance on model selection, evaluation metrics, and performance optimization.Requirements:Expertise in machine learning and deep learning concepts.Strong programming skills in Python and experience with popular ML libraries.Knowledge of Docker containerization and REST API frameworks.Experience with cloud-based services such as Azure Container Instances.Understanding of MLOps pipelines and experiment tracking tools.Excellent communication and collaboration skills.Benefits:As a Machine Learning Engineer at our company, you will have the opportunity to work on cutting-edge projects, collaborate with a talented team, and grow your skills and career.Our company offers a competitive salary, comprehensive benefits package, and opportunities for professional growth and development.We are committed to fostering a diverse and inclusive workplace culture and welcome candidates from all backgrounds.Join us in shaping the future of machine learning and AI



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