SENIOR DATA SCIENTIST - NLP

Happiest Minds Technologies; Bengaluru; On-site; INR 3,500,000 - 5,200,000; Full time

Job summary

Happiest Minds Technologies in Bengaluru is seeking an AI/ML Tech Lead to architect and scale multimodal AI systems for media applications, including video analysis, personalization, search, and moderation.

You will mentor engineers, drive end-to-end model development, deployment, and governance, and partner with cross-functional teams to ensure performance, reliability, and security.

Qualifications

• Must have leadership experience in AI/ML and multimodal systems.
• Proven expertise in CV, NLP and speech models.
• Experience with scalable video processing pipelines.
• Strong GPU optimization and distributed training knowledge.
• Hands-on with MLOps tools and inference serving platforms.

Responsibilities

• Architect large-scale multimodal AI systems for media.
• Oversee end-to-end model development, deployment, and monitoring.
• Mentor ML engineers and lead technical interviews.
• Drive sprint planning, architecture reviews, and governance.
• Ensure secure, compliant handling of media assets and data.

Skills

Multimodal transformers

CV models

NLP models

Speech models

GPU optimization

Distributed training

Real-time video

MLflow

Ray

Airflow

KServe

Triton

Vector databases

RAG

LangChain

Education

Bachelor's in CS/AI

Master's in CS/AI

Tools

MLflow

Ray

Airflow

KServe

Triton

LangChain

Vector DBs

Job description

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 ResponsibilitiesArchitecture & 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.