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




Robust
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 up-to-date 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 settings is a strong plus.

📌 Chief Technology Officer Coimbatore (India)
🏢 Klodev
📍 India