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
- 710 years AI/ML experience, including leadership roles.
- 5 years+ ML engineering experience.
- Bachelor's/Master's in CS/AI.
