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CloudPSO

Senior Machine Learning Engineer

CloudPSO

Senior Machine Learning Engineer at CloudPSO developing LLM and NLP solutions. Collaborating on data-driven projects to optimize forecasting and compliance in diverse market scenarios.

Posted 7/31/2026full-timeRemote • 🇦🇪 United Arab EmiratesSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in designing and optimizing Large Language Model pipelines, implementing semantic query architectures, and developing machine learning models for various applications. Proficient in deploying models in secure environments and utilizing MLOps tools for efficient model management.

Highest-signal resume keywords
Machine Learning ExpertiseNatural Language Processing (NLP)Python ProgrammingMLOps Tools (Docker, Kubernetes)Transformer Architectures (BERT, GPT, Llama)

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Large Language Model (LLM) DesignTime-Series Forecasting ModelsClassification ModelsAnomaly Detection ModelsData Preprocessing
Tools & Technologies
PyTorchTensorFlow
Industry Keywords
Model Inference OptimizationSecure EnvironmentsSemantic Query ArchitecturesSupply Chain Forecasting

Tech Stack

Tools & technologies
DockerKubernetesPythonPyTorchTensorflow

About the role

Key responsibilities & impact
  • Design and fine-tune Large Language Model (LLM) pipelines
  • Implement semantic query architectures for documentation
  • Develop time-series forecasting models for supply chain
  • Build classification and anomaly detection models
  • Containerize models and deploy into secure environments
  • Optimize model inference and monitoring systems

Requirements

What you’ll need
  • 5+ years of experience in machine learning and NLP
  • Expert proficiency in Python and ML libraries (PyTorch, TensorFlow)
  • Strong experience with transformer architectures (BERT, GPT, Llama)
  • Proficiency with MLOps tools (Docker, Kubernetes)
  • Experience with data preprocessing for structured and unstructured data

Benefits

Comp & perks
  • Health insurance
  • Remote work options
  • Professional development opportunities