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AI Specialist
Job Location:
Monthly Salary:
Experience Required:
Posted:
10 July 2026 (30+ days ago)
Posted:
Application Deadline:
7 October 2026
Application Deadline:
Vacancies:
1 Vacancy
Vacancies:
Job Summary
About the Role
We are looking for an AI Specialist to support the design development and implementation of AI-driven solutions across business functions. The successful candidate will work closely with stakeholders to identify automation opportunities develop Generative AI applications and leverage data analytics to improve operational efficiency and decision-making.
Key Responsibilities
Design develop and deploy AI and Machine Learning solutions to address business challenges.
Build and implement Generative AI applications using Large Language Models (LLMs).
Develop AI-powered chatbots virtual assistants and intelligent automation solutions.
Design and implement Retrieval-Augmented Generation (RAG) solutions using vector databases.
Collaborate with business users to gather requirements and translate them into AI use cases.
Develop test and optimize prompts for enterprise AI applications.
Integrate AI solutions with existing enterprise systems and APIs.
Work with structured and unstructured data for model training and analytics.
Monitor evaluate and improve AI model performance accuracy and reliability.
Ensure AI solutions comply with security governance and data privacy standards.
Stay updated with emerging AI technologies and recommend innovative solutions.
Requirements
Bachelors degree in Computer Science Artificial Intelligence Data Science Software Engineering or a related discipline.
Minimum 38 years of experience in AI Machine Learning or Data Science.
Strong programming skills in Python.
Hands-on experience with Machine Learning frameworks such as TensorFlow PyTorch or Scikit-learn.
Experience with Large Language Models (LLMs) Prompt Engineering and Generative AI.
Knowledge of RAG architecture embeddings and vector databases (e.g. FAISS ChromaDB Pinecone).
Experience with AI orchestration frameworks such as LangChain or LlamaIndex is an advantage.
Familiarity with SQL REST APIs Docker Kubernetes and cloud platforms (AWS Azure or GCP).
Experience integrating AI solutions into enterprise applications is preferred.
Strong analytical problem-solving and communication skills.
Preferred Skills
Experience with Microsoft Azure AI Services or Azure OpenAI.
Knowledge of MLOps model deployment and monitoring.
Experience with Power BI or other data visualization tools.
Exposure to intelligent document processing (IDP) OCR or workflow automation.
Experience working in the utilities energy engineering or industrial sector is an advantage.
Key Competencies
Strong stakeholder management and communication skills.
Ability to work independently and in a collaborative environment.
Innovative mindset with a passion for AI and emerging technologies.
Strong business acumen and problem-solving abilities.
Required Skills:
AI Specialist
Required Education:
degree / diploma
