AI / ML Engineer

Role : AI / ML Engineer

Experience : 6+ Years

Location : Gurgaon | Noida | Pune | Bangalore

Immediate Joiners Only

Job Description :

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 :

Scene detection

Video summarization

Content moderation

Annotation workflows

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 : MLflow, Ray, Airflow

KServe, Triton Inference Server

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.