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.