Machine Learning Engineer

Deskripsi pekerjaan

• Design and implement AI/ML solutions for enterprise use cases.
• Build, evaluate, and optimize models for anomaly detection, forecasting, classification, scoring, recommendation, and decision support.
• Work with structured and unstructured data, including time-series, tabular, text, logs, events, records, transactions, and user feedback.
• Define features, labels, training approach, validation approach, and model performance metrics.
• Perform model testing, tuning, drift monitoring, and performance evaluation.
• Design feedback loops based on user actions, system outcomes, and model performance.
• Explore reinforcement learning where suitable for policy optimization, prioritization, recommendation, or workflow tuning.
• Design and implement LLM/RAG workflows for summarization, explanation, Q&A, knowledge retrieval, and task assistance.
• Implement AI guardrails, grounding, audit trail, confidence display, and human approval workflow where required.
• Apply appropriate AI techniques based on use case, reliability requirements, and governance needs.
• Work with data, application, and platform teams to ensure data quality, traceability, and model input readiness.
• Present AI approach clearly to technical and non-technical stakeholders.

Kualifikasi

S1; Ilmu Komputer