jobs in OPTIMUM SOLUTIONS (SINGAPORE) PTE LTD

全职 Principal Consultant 工作, 薪水 up to SGD 10,000, OPTIMUM SOLUTIONS (SINGAPORE) PTE LTD Islandwide (Singapore) 公司招聘中 - Ricebowl

Principal Consultant

OPTIMUM SOLUTIONS (SINGAPORE) PTE LTD

Islandwide (Singapore)

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工作地点

  • Islandwide (Singapore) Singapore

职位描述

岗位职责

Responsibilities:

·                     Define the target architecture for enterprise analytics, Generative BI, machine learning and AI-enabled delivery capabilities.

·                     Design secure integration between governed data platforms, semantic layers, enterprise LLMs, vector stores, agents and BI tools.

·                     Establish reusable patterns for RAG, feature engineering, model development, deployment, evaluation and monitoring.

·                     Define AI security, privacy, entitlement, human-review, explainability, audit and responsible-AI controls.

·                     Design AI-enabled requirements discovery, impact analysis, mapping, code generation and test-automation frameworks.

·                     Set architecture standards for MLOps, DataOps, model registries, prompt/version management, observability and rollback.

·                     Review AI/ML designs, data suitability, evaluation criteria, NFRs and production-readiness evidence.

·                     Guide data scientists, ML engineers, data engineers and platform teams and resolve cross-platform technical risks.

Requirements:

Must have overall 15+ years of experience Information Technology with minimum of 5+ years of experience in Banking industry.

FUNCTIONAL / DOMAIN SKILLS

·                     AI and analytics use cases in regulated banking, including risk, payments, finance and customer analytics.

·                     Model governance, validation, responsible AI, privacy, audit readiness and human-in-the-loop controls.

·                     Generative BI, semantic analytics and governed enterprise AI adoption.

TECHNICAL SKILLS

·                     Enterprise LLM platforms, RAG, vector databases, agent frameworks, Python, Spark, Tensor Flow/PyTorch and MLflow.

·                     Hadoop/Cloudera, Lakehouse platforms, semantic layers, APIs, containers, Kubernetes and cloud AI services.

·                     ML Ops, evaluation, monitoring, drift detection, CI/CD, observability and secure AI integration.

重要安全守则

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