Artificial Intelligence Engineer

Role: Senior AI/ML Engineer

Function: Artificial Intelligence / Machine Learning

Location: Delhi

Type: Full-time

Industry: Media Production, Broadcast Media, Online Media

About Company The company is one of India's largest private FM radio networks. It reaches over 40 million listeners weekly across 49 cities, 1,000+ towns, and 50,000 villages. Founded in September 2006 and headquartered in Mumbai, it is the only private FM station broadcasting from Jammu & Kashmir. The network also has an international presence in Singapore and Bhutan. Its digital platform extends the brand into curated lifestyle, music, and news content. A 740-person team of seasoned media professionals powers both its broadcast and digital operations.

Position Overview The company is building a media super-app that unifies video, audio, radio, micro-drama, news, and commerce on a single platform. This foundational individual-contributor role owns the AI/ML capability powering recommendations, search relevance, and content intelligence across six content and commerce verticals. The engineer in this role will set the technical direction for how machine learning drives personalization and content discovery as the platform scales beyond its initial phase.

Role & Responsibilities

• Design and build recommendation systems that personalize content discovery across video, audio, radio, micro-drama, and news verticals
• Improve search relevance and ranking models to accelerate content discovery across a rapidly growing catalog
• Build content intelligence capabilities — tagging, classification, and metadata enrichment — to power discovery at scale
• Own the full ML lifecycle: data pipelines, model training, evaluation, deployment, monitoring, and iteration
• Partner with the Backend Architect to integrate ML systems cleanly into the broader platform infrastructure
• Collaborate with the Product Lead to translate product goals into measurable, ML-driven outcomes
• Own the AI/ML technical roadmap, evaluating and introducing new models and techniques as usage data and platform scale grow

Must Have Criteria

• 5–8 years of hands-on experience building and deploying machine learning systems in production
• Deep expertise in recommendation systems, search relevance, or learning-to-rank models — with production deployments to show for it
• Proficiency in Python and at least one modern ML framework (PyTorch, TensorFlow, or equivalent)
• Proven experience working with large-scale user behavior and content data to power personalization
• Strong command of the end-to-end ML lifecycle: data pipelines, feature engineering, model training, evaluation, and serving
• Demonstrated ability to operate as a high-impact individual contributor — leading through technical authority without direct reports

Nice to Have

• Experience in a media, content, or commerce super-app environment
• Prior experience at a high-growth startup building 0→1 ML capabilities
• Familiarity with both content-based and collaborative filtering recommendation approaches across multiple content formats
• Experience with real-time inference systems and MLOps practices at scale

What We Offer

• Foundational ownership of AI/ML across a platform reaching 40M+ listeners — with full technical roadmap authority
• Direct collaboration with the Head of Engineering, Backend Architect, and Product Lead — high visibility, low bureaucracy
• Opportunity to define personalization and content intelligence from the ground up on a media super-app spanning six verticals