Cashapona Technologies - Technical Lead - Artificial Intelligence/Machine Learning

Description :

AI/ML Engineer- Tech Lead

Job Title : AI/ML Engineer Tech Lead Level

Experience : 710 years

Industry : Media Preferred

Role Summary :

- 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 :

1. Scene detection

2. Video summarization

3. Content moderation

4. Annotation workflows

5. 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 :

i. MLflow, Ray, Airflow

ii. KServe, Triton Inference Server

iii. 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 to 10 years AI/ML experience, including leadership roles.

- 5 years+ ML engineering experience.

- Bachelors/Masters in CS/AI