Senior Data Scientist
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Key skills for this role
About the Role
Cander is seeking a Senior Data Scientist to lead AI initiatives for defense applications, developing production-grade generative AI, NLP, and predictive models. The role involves deploying LLMs, RAG pipelines, and time-series forecasting to transform unstructured data into actionable insights.
Key Skills for This Role
Responsibilities
- Lead development and deployment of generative AI and NLP solutions for engineering applications
- Design, fine tune, and deploy Large Language Models to interpret complex regulatory texts
- Convert interpreted regulatory content into computer processable formats for compliance checking
- Architect NLP driven methods to map natural language requirements to metadata entities
- Implement Retrieval Augmented Generation (RAG) pipelines for high accuracy querying
- Develop time series forecasting models for spend categories and material demand
- Build machine learning classifiers to categorize supplier risks and operational anomalies
- Design and oversee robust data extraction pipelines from various sources
- Collaborate with backend engineers to integrate AI models into compliance and risk engines
- Optimize model performance for large scale datasets and high volume processing
- Validate model outputs against test cases and historical data, debugging false positives/negatives
Requirements
- 5+ years of experience in Data Science or Machine Learning with production deployment
- Expert proficiency in Python and ML libraries (TensorFlow, PyTorch, Scikit learn, Pandas, NumPy)
- Deep experience with transformer based models (GPT, BERT, Llama) and prompt engineering
- Strong grasp of supervised and unsupervised learning techniques
- Proficiency in handling complex data structures (JSON, XML) and database querying (SQL/NoSQL)
- Experience with data extraction from specialized formats
- Understanding of exposing models via RESTful APIs (Flask/FastAPI)
- Solid understanding of statistics, probability distributions, and A/B testing
- Ability to quickly grasp complex domain terminology
- Experience working in structured delivery models such as Agile or Sprint based frameworks
- Strong communication skills to collaborate with cross functional teams
Full Job Posting
Company Overview
- Headquartered in Abu Dhabi, specializes in developing AI driven intelligent systems for defense and industrial sectors.
- Focuses on transforming unstructured data into actionable insights through generative AI, NLP, and predictive analytics.
Job Summary
- Seeking a Senior Data Scientist to lead technical development and deployment of high impact AI initiatives for advanced defense capabilities.
- Transition from exploratory modeling to building production grade AI systems that enhance design, manufacturing, and procurement processes.
Key Responsibilities
- Lead the development and deployment of generative AI and NLP solutions for engineering applications within the platform.
- Design, fine tune, and deploy Large Language Models (LLMs) to interpret complex regulatory texts.
- Convert interpreted regulatory content into computer processable formats for automated compliance checking.
- Architect NLP driven methods to map natural language requirements to metadata entities.
- Implement Retrieval Augmented Generation (RAG) pipelines to enable high accuracy querying of technical documentation.
- Develop time series forecasting models to predict spend categories and material demand.
- Build machine learning classifiers to categorize supplier risks and operational anomalies.
- Design and oversee robust data extraction pipelines to transform raw data into actionable features.
- Collaborate with backend engineers to integrate AI models into cohesive compliance and risk engines.
- Optimize model performance to handle large scale datasets and high volume processing.
- Validate model outputs against test cases and historical data, debugging false positives/negatives.
Qualifications And Requirements
- 5+ years of experience in Data Science or Machine Learning with production deployment.
- Expert proficiency in Python and standard ML libraries (TensorFlow, PyTorch, Scikit learn, Pandas, NumPy).
- Deep experience with transformer based models (GPT, BERT, Llama) and prompt engineering techniques.
- Strong grasp of both supervised and unsupervised learning techniques.
- Proficiency in handling complex data structures (JSON, XML) and database querying (SQL/NoSQL).
- Experience with data extraction from specialized formats.
- Understanding of how to expose models via RESTful APIs (Flask/FastAPI).
- Solid understanding of statistics, probability distributions, and A/B testing.
- Ability to quickly grasp complex domain terminology.
- Experience working in structured delivery models such as Agile or Sprint based frameworks.
- Strong communication skills to collaborate effectively with Domain Experts, Backend Engineers, and Product Managers.
Technical Skills
- Expert proficiency in Python and standard machine learning libraries (TensorFlow, PyTorch, Scikit learn, Pandas, NumPy).
- Deep experience with transformer based large language models (GPT, BERT, Llama) and advanced prompt engineering.
- Proficiency in handling complex data structures (JSON, XML) and querying databases using SQL/NoSQL.
- Understanding of backend systems and ability to expose AI models via RESTful APIs using Flask or FastAPI.
- Solid foundation in statistics, probability distributions, and A/B testing.
- Experience designing and implementing Retrieval Augmented Generation (RAG) pipelines.
- Familiarity with data extraction pipelines from Data Lakehouse, external web, SAP databases, etc.
- Knowledge of model orchestration and optimization techniques.
- Ability to validate model outputs against test cases and historical data.
Location and Work Environment
- Primary Location: Abu Dhabi, United Arab Emirates
- Work Setting: Hybrid or on site collaboration with cross functional teams.
- Delivery Model: Structured 'Sprint Zero' to 'Stage Gate' framework.
Why Join This Role?
- Shape intelligent systems for the industrial foundation of tomorrow.
- Tackle real world, high impact challenges from safety compliance to supply chain disruption.
- Transform raw data into actionable insights for strategic decision making.
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