Chief Technology Officer

• Define
  and execute the company’s technology vision, architecture, and strategy aligned with business goals.
  
• Lead
  end -to -end AI product development, from data engineering to
  deployment.
  
• Oversee data infrastructure, pipelines, and cloud architecture to support
  large -scale analytics and machine learning workloads.
  
• Collaborate
  with cross -functional teams (Product, Engineering, and Business) to
  integrate AI into core products and business processes.
  
• Stay
  ahead of industry trends in AI, ML, LLMs, and Generative AI, and
  translate them into actionable innovation.
  
• Build
  and mentor a high -performing engineering and AI team.
  
• Establish
  and maintain best practices for software development, DevOps, MLOps,
  and data governance.
  
• Manage
  technology budgets, vendor relationships, and ensure scalable, secure, and
  efficient systems.
  

Requirements

• Strong
  foundation in software development (Python, Java, or similar).
  
• Deep
  expertise in Data Engineering – ETL, Data Warehousing, and Big Data
  tools (e.g., Spark, Databricks, Airflow, ADF).
  
• Proven
  experience in AI/ML model development, LLMs, NLP, and Neural Networks.
  
• Hands -on
  with cloud platforms (Azure / AWS / GCP) and MLOps pipelines.
  
• Understanding
  of modern architectures – microservices, APIs, event -driven
  systems, and containerization (Docker, Kubernetes).
  
• Excellent
  leadership, communication, and strategic planning skills.
  
• Prior
  experience scaling technology in startups or enterprise environments is a strong plus.