MODULE LEAD - LEAD

Job Title:

AI/ML Engineer – Tech Lead Level

Experience:

7–10 years

Industry:

Media Preferred  

Role Summary

The AI/ML Tech Lead drives the end-to-end architecture, implementation, and scaling of multimodal AI systems in the media organization. They lead teams delivering media understanding, personalization, search, moderation, and automation. This role ensures engineering excellence, scalability, and robustness in all AI systems. 

Detailed Responsibilities

Architecture & Technical Leadership

       Architect large-scale

multimodal AI systems

handling video, audio, and image pipelines.       Design scalable training, inference, and data ingestion systems for media AI.       Lead design of video AI features such as:o   Scene detectiono   Video summarizationo   Content moderationo   Annotation workflowso   Multimodal search and discovery       Design and optimize RAG pipelines pulling from transcripts, frames, subtitles, metadata.

Execution & Delivery

       Oversee model development, integration, deployment, and monitoring.       Manage cross-functional delivery with engineers, designers, and media teams.       Drive sprint planning, architecture reviews, and performance evaluations.

Technical Excellence & Governance

       Enforce best practices in coding, testing, model governance, and documentation.       Build and maintain MLOps standards and model lifecycle processes.       Ensure secure, compliant handling of media assets and user data.

Team Leadership

       Mentor ML engineers across levels.       Lead technical interviews, onboarding, and capability building. 

Must-Have Skills

       Expert in CV, NLP, speech models, and multimodal transformer models.       Strong understanding of GPU optimization, distributed training (DeepSpeed, Horovod).       Experience with real-time/near-real-time video processing.       Hands-on with:o   MLflow, Ray, Airflowo   KServe, Triton Inference Servero   Vector DBs, RAG, LangChain 

Preferred Skills

       Experience with broadcast/OTT platforms, MAM systems, and DAM workflows.       Experience with generative imaging (Stable Diffusion) or video generation. 

Qualifications

       7–10 years AI/ML experience, including leadership roles.       5 years+ ML engineering experience.       Bachelor’s/Master’s in CS/AI.