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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and fine-tuning Large Language Models, implementing machine learning classifiers, and architecting robust data pipelines. Proficient in Python and standard ML libraries, with a strong grasp of both supervised and unsupervised learning techniques.
Highest-signal resume keywords
Python ProficiencyLarge Language Model DesignMachine Learning ClassifiersTransformer-Based ModelsData Pipeline Architecture
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
PythonTensorFlowPyTorchScikit-learnPandasNumPySupervised LearningUnsupervised LearningTransformer-Based ModelsPrompt Engineering
Tools & Technologies
FlaskFastAPIRESTful APIsJSONXML
Industry Keywords
Data AnalysisRegulatory TextsRetrieval-Augmented GenerationTime-Series ForecastingA/B TestingBias Mitigation
Tech Stack
Tools & technologiesFlaskNumpyPandasPythonPyTorchScikit-LearnTensorflow
About the role
Key responsibilities & impact- Query and analyse large domain- or topic-specific data sets
- Design and fine-tune Large Language Models to parse complex regulatory texts
- Convert interpreted regulations into computer-processable formats
- Architect methods for LLMs to map natural language requirements
- Implement Retrieval-Augmented Generation pipelines
- Develop time-series forecasting models
- Build machine learning classifiers
- Design robust pipelines to extract and transform raw data
- Work with Back End Engineers to integrate AI models into a cohesive 'compliance engine'
- Streamline model performance
Requirements
What you’ll need- 4-5 years of experience
- Expert proficiency in Python and standard ML libraries (TensorFlow/PyTorch, Scikit-learn, Pandas, NumPy)
- Strong grasp of both supervised and unsupervised learning techniques
- Deep experience with transformer-based models (GPT, BERT, Llama) and prompt engineering techniques
- Proficiency in handling complex data structures (JSON, XML)
- Understanding of how to expose models via RESTful APIs (Flask/FastAPI) and integrate them into larger software architectures
- Solid understanding of statistics, probability distribution, A/B testing
- Adept at identifying and mitigating biases in datasets.
Benefits
Comp & perks- A Valid UAE work permit/employment visa is mandatory.
