Scalable Machine Learning Engineer

2 days ago


aligarh, India beBeeMachineLearning Full time

MLOps Developer OpportunityWe are seeking an experienced MLOps developer to design, build and manage scalable machine learning operations on the Databricks Lakehouse Platform.Key Responsibilities:Develop Scalable MLOps Pipelines:Create automated ML pipelines for training, validation, deployment and batch/real-time inference.Use Databricks Workflows, Jobs, Repos and Delta Live Tables where applicable.Implement distributed training and inference pipelines using MLflow + PySpark.Model Lifecycle Management:Manage model versioning and promotion across dev → staging → production using MLflow Model Registry.Create reproducible workflows for model packaging, deployment and rollback.Cross-Functional Collaboration:Work closely with Data Scientists, Data Engineers, Cloud teams and Product teams.Document workflows, best practices and MLOps reusable components.Requirements:Technical Skills:Proficiency in Python programming language.Familiarity with Databricks Lakehouse Platform.Knowledge of MLflow and PySpark.Educational Background:Bachelor's or Master's degree in Computer Science, Mathematics or related field.Benefits:Opportunity to work with cutting-edge technologies.Growth opportunities within the organization.This is a challenging role that requires strong technical skills and collaboration experience. We encourage candidates who are passionate about MLOps development to apply.


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