Chief AI Strategist

1 week ago

Kolhapur, India beBeeArtificial Full time

Job TitleMachines Learning ExpertWe are seeking an experienced Machines Learning Engineer to join our team.Machine Learning ResponsibilitiesThe ideal candidate will have experience in designing and implementing end-to-end ML pipelines for recommendation systems, search ranking, and classification problems.Built traditional ML models using ensemble methods, SVMs, gradient boosting, and neural networks.Developed time series forecasting models and ranking algorithms for complex business applications.Implemented feature engineering pipelines that handle real-world data noise and edge cases.Created robust data preprocessing and validation systems ensuring model reliability in production.Production ML Systems & DeploymentThe chosen candidate will be responsible for deploying ML models using Docker containerization and REST API frameworks.Deployed ML models using Docker containerization and REST API frameworks (Flask/FastAPl).Implemented model serving solutions on Azure Container Instances with proper monitoring and alerting.Designed scalable data workflows using Apache Airflow and Azure Data Factory for ETL operations.Established model versioning, rollback strategies, and performance monitoring in production environments.Technical Leadership & CollaborationThe selected candidate will also serve as a technical sounding board for AI team members on ML architecture and approach decisions.Served as a technical sounding board for AI team members on ML architecture and approach decisions.Mentored team members on best practices for production ML system design and implementation.Communicated complex technical concepts clearly to both technical and non-technical stakeholders.Collaborated across AI, web development, and system architecture teams to ensure seamless integration.Guided strategic decisions on when to use traditional ML versus generative AI approaches.Strategic ML Decision MakingThe Machine Learning Engineer will evaluate problems to determine optimal solutions: classical ML, GenAI, or simpler analytical methods.Evaluated problems to determine optimal solutions: classical ML, GenAI, or simpler analytical methods.Integrated generative AI tools effectively into workflows without over-relying on them.Designed ML systems that integrated seamlessly with existing web application architectures.Provided technical guidance on model selection, evaluation metrics, and performance optimization.Stayed current with ML best practices while maintaining focus on practical, business-driven solutions.

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