About the role
- 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.