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Specialist – AI Transformation

Salary undisclosed

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Job Brief:
Responsible for leveraging artificial intelligence, machine learning (ML), and related technologies to optimize business processes, develop intelligent applications, and create impactful solutions that align with our strategic objectives.

Responsibilities:

1. AI Solution Development
  • Design, build, and deploy AI/ML models and applications to solve complex business challenges.
  • Integrate AI solutions with existing systems to enhance operational efficiency and decision-making.
  • Develop prototypes and proof-of-concept (POC) models to demonstrate the viability of AI solutions.

2. Business Process Transformation
  • Collaborate with business stakeholders to identify processes suitable for AI automation and transformation.
  • Create intelligent workflows using AI technologies such as RAG, Large Language Model, Natural Language Processing (NLP), computer vision, and predictive analytics.
  • Evaluate and implement generative AI solutions to enhance customer engagement, content generation, and task automation.

3. Data Management and Analysis
  • Work with data engineering teams to ensure the availability of clean, structured, and relevant datasets for AI modeling.
  • Conduct exploratory data analysis to extract insights and identify patterns that guide AI initiatives.
  • Maintain and improve data pipelines and real-time analytics systems for AI-based applications.

4. Technical Expertise
  • Implement AI frameworks, APIs, and platforms to accelerate AI solution development.
  • Optimize and deploy AI models into production environments ensuring scalability, reliability, and performance.
  • Stay updated with emerging trends and technologies in AI and recommend their application to the organization.

5. Collaboration and Leadership
  • Work cross-functionally with data scientists, software developers, product managers, and business analysts.
  • Educate and train teams on AI tools, practices, and their benefits.
  • Lead AI workshops and innovation sessions to foster a culture of AI-driven transformation.

6. Compliance and Governance
  • Ensure AI systems adhere to ethical AI practices, data privacy laws, and organizational policies.
  • Monitor the performance of deployed AI solutions and address potential biases or inaccuracies.

Skills Required:
  • Degree holder in any field.
  • Minimum 5 years in AI.
  • Advanced computer knowledge: MS Office, MS Outlook, and Internet Explorer
  • Training will be conducted in English.