AI & Data Specialist

Job Summary 

Responsibilities and Duties

• Develop and deploy intelligent, scalable AI/ML systems that
  support media monitoring, sentiment analysis, and audience behavior modeling.
  
• Build end -to -end machine learning workflows for structured
  and unstructured data, including text, video, and social content.
  
• Ensure scalability, security, and performance of deployed
  models across different platforms (broadcasting, OTT, digital).
  
• Build and train NLP models to extract sentiment and
  emotional tone from media content, viewer feedback, and social media posts.
  
• Develop predictive algorithms that evaluate and forecast
  content performance, audience engagement, and campaign impact.
  
• Fine -tune models based on labeled data and feedback loops to
  improve accuracy over time.
  
• Implement automation tools for real -time content tagging,
  moderation, and classification using computer vision and NLP techniques.
  
• Design intelligent recommendation systems and
  personalization engines based on viewer behavior, content metadata, and
  interaction patterns.
  
• Enable smart metadata generation for improved content
  indexing, discoverability, and searchability.
  
• Build and maintain interactive, real -time dashboards to
  present AI insights to internal teams and clients in a clear, actionable
  format.
  
• Develop data visualizations that simplify complex data
  outputs, allowing stakeholders to interpret sentiment shifts, campaign ROI, and
  content trends.
  
• Integrate dashboards with data pipelines and APIs to ensure
  seamless data refresh and accuracy.
  
• Stay abreast of the latest advancements in AI, ML, NLP, and
  computer vision, evaluating their relevance for media applications.
  
• Lead proof -of -concept projects and experimental pilots to
  test new tools, libraries, and models.
  
• Contribute to the company’s R&D strategy by proposing
  and implementing innovative AI -based solutions.
  
• Work closely with Product, Content, Strategy, and Marketing
  teams to translate business goals into AI -driven solutions.
  
• Provide technical support for data interpretation, ensuring
  that non -technical stakeholders understand AI -generated insights.
  
• Participate in cross -departmental planning sessions to align
  data strategies with overall media objectives.
  

Requirements

• 3–5 years of hands -on experience in AI, natural language
  processing (NLP), and data analytics within media, broadcast, or content -driven
  environments.
  
• Proven track record of building, training, and deploying
  machine learning models for applications such as sentiment analysis, content
  classification, and trend forecasting.
  
• Strong programming skills in Python, with the ability to
  write clean, efficient, and maintainable code.
  
• Proficiency in ML/NLP frameworks and libraries such as
  TensorFlow, PyTorch, spaCy, Scikit -learn, or Hugging Face Transformers.
  
• Solid understanding of media data types (text, audio, video)
  and their processing workflows, especially in multimedia or social media
  contexts.
  
• Hands -on experience with data visualization tools such as
  Power BI, Tableau, or Python -based libraries like Plotly, Dash, or Streamlit.
  
• Ability to convert raw data outputs into actionable,
  easy -to -understand visual reports and dashboards tailored for business users.
  
• Experience working with cloud platforms such as Google Cloud
  Platform (GCP), Amazon Web Services (AWS), or Microsoft Azure.
  
• Capable of building and integrating APIs, and deploying ML
  models into production environments or operational workflows.
  
• Strong analytical thinking with the ability to connect data
  science outcomes to business strategy and media performance.
  
• Effective communication skills for working with technical
  and non -technical teams across departments.
  
• Demonstrated initiative in applying AI solutions to
  real -world media challenges, with a focus on continuous improvement and
  innovation.
  
• Fluency in English is required.
  
• Proficiency in Arabic is a strong advantage.
  
• Knowledge of Turkish is preferred.