Technical Leadership & System Architecture

Lead the architectural design and end-to-end development of production-grade AI systems, focusing on high-impact applications such as agentic workflows and predictive modeling.

Own the machine learning lifecycle by overseeing the mathematical integrity and technical execution of data ingestion, feature engineering, and model training.

Drive the deployment of scalable models across major cloud environments (AWS/Azure/GCP) or on-premises infrastructure to ensure high availability and performance.

Mentor junior developers and data scientists, providing technical guidance and conducting structured code reviews to foster a culture of continuous learning.

MLOps Excellence & Quality Assurance

Establish and enforce rigorous MLOps frameworks to ensure the robust, repeatable, and high-quality delivery of AI-driven software solutions.

Validate all technical outputs through stringent testing protocols and quality assurance standards, ensuring compliance with global performance benchmarks.

Direct continuous improvement initiatives by analyzing system data to proactively identify, manage, and resolve complex technical incidents.

Strategic Integration & Stakeholder Management

Partner with multidisciplinary business units and product management to translate ambiguous business challenges into concrete AI/ML software requirements.

Advise senior leadership as a primary technical liaison, converting intricate algorithmic capabilities into actionable insights that drive corporate strategy.

Benchmark emerging digital trends and enterprise-level software tools to continuously optimize the organization s service delivery and technical stack.

Governance & Safety Culture

Ensure full alignment with the organization s Safety Management System, integrating digital security and safety protocols into all software development.

Promote a proactive safety culture within the technical team, identifying and mitigating any potential operational or environmental risks.

Champion ethical AI standards and data governance practices to protect organizational integrity and user privacy.