Artificial Intelligence Specialist

Key Responsibilities

1. AI Implementation & Solution Development

• Conceptualize in collaboration with the functional leaders and Lead end-to-end implementation of AI/ML models: data preparation → model selection → integration → testing → scaling.
• Deploy Generative AI solutions / Agentic AI (ChatGPT-like assistants, content generation tools, customer service LLMs, workflow automation, etc.) into business workflows.
• Build and implement AI models for increasing efficiencies, reduce GTM for our B2C products, identify the emerging trends and tap into them
• Implement AI-enabled solutions for business. Also across functional areas for planning & optimization

2. Cross-Functional Collaboration

• Partner with teams across Revenue, Editorial, Operations, Marketing, Technology, Product, HR, Finance and Strategy

  to identify use cases and identify the AI solutions for deployment.

• Lead end to end

  deployment of the above and build a mechanism to measure impact of the solutions rolled out

• Ensure regular updates on AI efforts across the board for the leadership team.

  .

3. Program & Project Management

• Manage AI implementation roadmaps, sprint plans, vendor/partner coordination, and enterprise integration.
• Create POCs and scale successful prototypes into production-grade solutions.
• Define KPIs and track ROI of AI deployments across functions.
• Ensure strong documentation, governance, model monitoring, and compliance.
• Work with data engineering teams to ensure data availability, quality, pipelines, and governance for AI workloads.

4. Stakeholder & Change Management

• Conduct workshops to evangelize AI adoption across business units.
• Train teams on GPT-based tools, automation platforms, and AI usage guidelines.
• Influence leadership with insights, dashboards, and reports on AI impact.
• Ensure compliance with Responsible AI guidelines, data privacy, and security standards.

Key Skills & Competencies

Technical Skills

• Strong understanding of

  ML/AI concepts

  , LLMs, NLP, computer vision, and predictive modelling.
• Past experience of implementing AI at scale for New Product Development, Efficiencies or LLM integration into business verticals
• Hands-on experience with

  Python

  , ML libraries (Scikit-learn, TensorFlow, PyTorch), and LLM frameworks (LangChain, Azure OpenAI, OpenAI API).
• Experience deploying chatbots, recommendation engines, or automation workflows.
• Familiarity with ML Operations & practices
• Knowledge of cloud AI services.

Business & Functional Skills

• Ability to translate business problems into scalable AI solutions.
• Experience working with Revenue, Marketing, Strategy, Business Support or Operations teams.
• Experience in Tech / Ecommerce /IT Services environments is preferred.

Soft Skills

• Excellent stakeholder management and cross-functional communication.
• Strong project management capabilities.
• Energetic, Analytical, structured, and outcome-driven.
• Ability to work in fast-paced and ambiguous environments.
• Storytelling ability to present AI outcomes to senior management.

Qualification & Experience

• Bachelor’s or Master’s in

  Engineering, Data Science, Computer Science, Analytics, or Technology Management

  .
• 5–9 years of total experience, with

  3–6 years in AI/ML implementation

  .
• Certifications in AI/ML, Cloud, Data Engineering, or Generative AI are a plus.