Description

Lead AI product development by designing experiments, validating NLP and deep learning use cases, and owning the end-to-end ML lifecycle from prototyping to production monitoring.

This role is on-site.

Responsibilities

• Design and run AI experiments to validate NLP and deep learning use cases, assessing model effectiveness and measuring impact.
• Lead iterative AI product development using hypothesis-driven experimentation, rapid prototyping, 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.

Required Skills

• 13+ years of experience in AI/digital product development, analytics, or data-driven platform roles.
• Strong foundations in statistical modelling, probability, and classical machine learning algorithms.
• Expertise in machine learning and NLP, including deep learning approaches for applied use cases.
• Advanced proficiency in Python and SQL for experimentation, analysis, and model development.
• Hands-on experience with ML tooling (scikit-learn, PyTorch, and/or TensorFlow) for validation, deployment, and monitoring.

Preferred Skills

• Experience with Agentic AI for building autonomous or tool-using AI workflows.

Key Skills

Education

Any Graduate