Ai Ml Engineer

AI/ML Tech Lead

Experience: 6-10 Years
Open Positions: 6
Notice Period: Immediate Joiners Only
Work Location: Pan India
Work Mode: Remote
Interview Mode: Virtual 2 Rounds
Laptop: Mandatory for Interview

Role Summary-

We are looking for an experienced AI/ML Tech Lead to drive the architecture, development, implementation, and scaling of multimodal AI solutions for media applications.

The role involves leading AI/ML engineering teams working on video understanding, personalization, search, content moderation, automation, and multimodal AI systems while ensuring scalability, performance, security, and engineering excellence.

Key Responsibilities

• Architect and develop large-scale multimodal AI systems handling video, audio, and image data.
• Design scalable ML training, inference, and data ingestion pipelines.
• Lead development of AI solutions for:
• Scene detection
• Video summarization
• Content moderation
• Annotation workflows
• Multimodal search and discovery
• Design and optimize RAG pipelines using transcripts, video frames, subtitles, and metadata.
• Oversee end-to-end model development, integration, deployment, and monitoring.
• Lead technical architecture reviews, sprint planning, and delivery.
• Build and maintain MLOps standards and model lifecycle processes.
• Ensure secure and compliant handling of media assets and user data.
• Mentor ML engineers and contribute to technical hiring, onboarding, and capability building.

Must-Have Skills -

• 610 years of experience in AI/ML, including technical leadership experience.
• 5+ years of hands-on ML Engineering experience.
• Strong expertise in:
• Computer Vision (CV)
• NLP
• Speech Models
• Multimodal Transformer Models
• Strong understanding of GPU optimization and distributed training.
• Hands-on experience with DeepSpeed / Horovod.
• Experience with real-time or near-real-time video processing.
• Experience with MLflow, Ray, and Airflow.
• Experience with KServe and Triton Inference Server.
• Strong knowledge of Vector Databases, RAG, and LangChain.
• Experience designing scalable AI/ML systems and production-grade ML pipelines.
• Strong programming, system design, debugging, and problem-solving skills.
• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, or a related field.

Good to Have -

• Experience with Broadcast / OTT platforms.
• Knowledge of MAM (Media Asset Management) and DAM (Digital Asset Management) workflows.
• Experience with Generative AI for Images, such as Stable Diffusion.
• Experience with AI-based video generation.
• Experience working with large-scale media datasets and content platforms.

What We're Looking For

A hands-on technical leader who can combine AI/ML expertise, multimodal AI knowledge, MLOps, system architecture, and team leadership to build reliable and scalable AI solutions for media applications.