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Open nowPosted today

Principal Consultant

OPTIMUM SOLUTIONS (SINGAPORE) PTE LTD

Pay
SGD 10,000 – SGD 14,500 a Monthly
Where
Singapore
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Your applicationOpen nowPrincipal ConsultantOPTIMUM SOLUTIONS (SINGAPORE) PTE LTD · Singapore

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on OPTIMUM SOLUTIONS (SINGAPORE) PTE LTD's own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

12.4% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.4%7 days
  4. 20.0%14 days
  5. 35.5%30 days
  6. 58.6%60 days
This job: posted today

The posting

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.

Posting text belongs to the employer. Removal requests: contact us.

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    Recruiter, hiring manager, skeptic and more read every draft, round after round. You get the best round.

    The review screen in CV Rocket: how each CV was read, round by round.

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