- Responsible for ML model development, solving various business problems from various industries (e.g. use cases from FMCG, S&D, QSR, Marketing Agency, etc.) - Comply with development best practice and documentation. - Ensure deliverables are presentable to business users. - Ensure versioning control, controlled access, and security for development environment and delivered result. - Responsible for ML model deployment, operations, and maintenance. - Develop deployment pipeline (schema, job schedule, log monitoring). - Conduct day-to-day monitoring, model performance, data drift, and accuracy check. - Responsible for Agentic AI development. - Develop end-to-end Agentic AI pipeline, able to enhance pre-trained model, utilize in-house model, and design schema that is most efficient in terms of cost and time.
• Statistical model (e.g. ARIMA, Winter Holt, etc.) • Machine Learning model (supervised and unsupervised model, regression or classification) • ML model evaluation (e.g., evaluation metrics like MAE, MAPE, RMSE, lift chart, F1 Score, error distribution) • Python programming language • Database query • API • Tools for ML model deployment (etc. MLflow, Airflow) • Data visualization (e.g. Power BI, Tableau, Metabase) • Versioning control (e.g. Github, Azure Devops)
PT MSBU Konsultan Indonesia adalah penyedia jasa staffing konsultan IT berbasis on-demand di Jakarta dan juga melayani klien di berbagai daerah di Indonesia. Mereka menawarkan dua layanan utama: On-Demand IT Staffing Service dan IT Recruiti... Read More
