Data & AI Senior Specialist - Emiratisation (1 year extendable)
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Key skills for this role
About the Role
Design, develop, and deliver enterprise AI and data solutions including scalable data platforms, AI applications, machine learning models, and advanced analytics.
Key Skills for This Role
Responsibilities
- Design, develop, and maintain enterprise data platforms, data pipelines, data warehouses, and AI driven solutions
- Build, deploy, monitor, and optimize machine learning models, Generative AI applications, and advanced analytics solutions
- Write production quality code, develop prototypes, troubleshoot complex technical issues, and support critical AI and data systems
- Define data architecture, engineering standards, AI frameworks, and best practices for coding, testing, security, MLOps, and data governance
- Evaluate emerging technologies and provide recommendations on architecture, platforms, and technical solutions
- Collaborate with business stakeholders to identify AI opportunities, define solution requirements, and deliver measurable business value
- Present technical updates, risks, and recommendations to senior stakeholders
- Mentor technical team members through code reviews, technical guidance, and knowledge sharing
- Ensure compliance with data governance, information security, privacy regulations, and responsible AI practices
- Drive continuous improvement in data quality, AI governance, and operational excellence
Requirements
- Bachelor's degree in Computer Science, AI, Data Science, Statistics, or related field with minimum 6 years' experience, or Diploma with minimum 7 years' experience
- Proven experience delivering enterprise AI, machine learning, and data engineering solutions in production
- Strong hands on experience with Python, advanced SQL, machine learning, deep learning, NLP, Generative AI, LLMs, and RAG
- Experience designing scalable ETL/ELT pipelines, enterprise data platforms, and cloud based solutions using Azure, AWS, GCP, or OCI
- Knowledge of MLOps, CI/CD, containerization, model deployment, monitoring, and data governance
- Strong analytical, problem solving, stakeholder management, and communication skills
- Experience mentoring technical teams
Full Job Posting
Job Summary
- Seeking an experienced Data & AI Senior Specialist to design, develop, and deliver enterprise AI and data solutions.
- Hands on technical role responsible for building scalable data platforms, AI applications, machine learning models, and advanced analytics solutions.
- Provides technical leadership and mentoring.
Key Responsibilities
- Design, develop, and maintain enterprise data platforms, data pipelines, data warehouses, and AI driven solutions.
- Build, deploy, monitor, and optimize machine learning models, Generative AI applications, and advanced analytics solutions.
- Write production quality code, develop prototypes, troubleshoot complex technical issues, and support critical AI and data systems.
- Define data architecture, engineering standards, AI frameworks, and best practices for coding, testing, security, MLOps, and data governance.
- Evaluate emerging technologies and provide recommendations on architecture, platforms, and technical solutions.
- Collaborate with business stakeholders to identify AI opportunities, define solution requirements, and deliver measurable business value.
- Present technical updates, risks, and recommendations to senior stakeholders.
- Mentor technical team members through code reviews, technical guidance, and knowledge sharing.
- Ensure compliance with data governance, information security, privacy regulations, and responsible AI practices.
- Drive continuous improvement in data quality, AI governance, and operational excellence.
Requirements
- Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, Statistics, or related field (minimum 6 years' experience), or Diploma with minimum 7 years' experience in Data Engineering, Data Science, AI, or related disciplines.
- Proven experience delivering enterprise AI, machine learning, and data engineering solutions in production environments.
- Strong hands on experience with Python, advanced SQL, machine learning, deep learning, NLP, Generative AI, LLMs, and Retrieval Augmented Generation (RAG).
- Experience designing scalable ETL/ELT pipelines, enterprise data platforms, and cloud based solutions using Azure, AWS, GCP, or OCI.
- Knowledge of MLOps, CI/CD, containerization, model deployment, monitoring, and data governance practices.
- Strong analytical, problem solving, stakeholder management, and communication skills.
- Experience mentoring technical teams and working collaboratively across business and technology functions.
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