Software Engineering Senior Advisor

Job description

**Key Skills:** NLP, Statistical Modelling, Machine Learning, Deep Learning, Agentic AI **Roles and Responsibilities:** - Design and run AI experiments to validate NLP and deep learning use cases, assess model/feature effectiveness, and measure impact. - Lead iterative AI product development using hypothesis-driven experimentation, rapid prototyping, pilots/POCs, and data-backed decision making. - Own end-to-end ML lifecycle activities including development, validation, deployment, and monitoring in production environments. - Partner with engineering and platform teams on architecture discussions, build-vs-buy decisions, and operationalization of ML concepts. - Provide senior technical guidance and influence product, engineering, and architecture stakeholders without formal authority. **Skills Required:** - 13+ years of experience in AI/digital product development, analytics, or data-driven platform roles - Statistical modelling, probability/statistics foundations, and classical machine learning algorithms. - Machine learning and NLP expertise, including deep learning approaches for applied use cases. - Advanced proficiency in Python and SQL for experimentation, analysis, and model development. - Hands-on ML tooling and lifecycle ownership using scikit-learn, PyTorch and/or TensorFlow, including validation, deployment, and monitoring. Good to Have: - Agentic AI experience for building autonomous or tool-using AI workflows. **Education:** Any Graduation, Any Post Graduation