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Senior Data Scientist

PALO IT SINGAPORE PTE. LTD.•11 BEACH ROAD, 189675, Singapore
Full-timeSenior
S$7,000 - S$12,000/month
👁️ 0 views•📝 0 applications•Posted 10/14/2026•Expires 11/13/2026
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Job Description

Who We Are Build. Scale. Sustain. PALO IT is a global technology consultancy that crafts tech as a force for good. We design, develop and scale digital and sustainable products and services to unlock value across the triple bottom line: people, planet, profit. We do the right thing, and we do it right.

We're proud to be a World Economic Forum New Champion, and a B Corp-certified company.

We are small enough to care locally, big enough to deliver globally (5 continents, 18 offices, +650 experts from +50 nationalities) We are robust and resilient (100% independent and 0 debt) We are entrepreneurs and passionate experts : We invest in what we believe genuinely and work as a collective intelligence We are positive, courageous, caring, doers and committed to excellence YOUR ROLE: We are seeking a Senior Data Scientist with strong experience in Generative AI (GenAI) , MLOps, and applied machine learning on public cloud platforms.

The role involves building GenAI-powered applications and leveraging GenAI for accelerating software and data development. Develop and deploy GenAI applications (LLMs, RAG, prompt engineering, agentic workflows). Collaborate with Data Engineers to operationalize pipelines for model training, evaluation, and monitoring.

Use GenAI for productivity enhancements (automated code generation, testing, documentation). Implement best practices for model governance, risk management, and responsible AI. Deliver insights and AI products for Financial Services, Healthcare, Maritime, and Retail clients.

MUST HAVE EXPERIENCE 8+ years of experience in Data Science / AI roles. Strong background in GenAI , LLMs, NLP, and model fine-tuning. Hands-on with at least one public cloud ( Azure preferred , AWS or GCP acceptable). Python proficiency (PyTorch, TensorFlow, Hugging Face, LangChain, MLflow).

Experience deploying ML/GenAI applications using Kubernetes or serverless. GOOD TO HAVE Familiarity with Azure OpenAI , AWS Bedrock, or GCP Vertex AI. MLOps tooling (Kubef

Required Skills

AWSAzureData EngineeringData ScienceDocumentationGCPKubernetesMachine LearningNLPPythonPyTorchRisk ManagementTensorFlow

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