Job Title: AI/ML Engineer Senior Associate Level Experience: 8+ years Industry: Media Preferred Role Summary The Senior Associate AI/ML Engineer builds production-grade ML and multimodal systems that support media workflows such as automated metadata extraction, video understanding, speech transcription, moderation, and recommendation. They own model development, MLOps integration, and production deployment while mentoring junior engineers. Detailed Responsibilities Model & Pipeline Development Build and deploy multimodal ML models spanning NLP, CV, ASR, OCR, and video analytics. Develop robust pipelines for:o Video frame extraction, shot detectiono Speech-to-text, speaker diarizationo Image tagging, content moderationo Multimodal embeddings (CLIP, SigLIP, VideoCLIP) Implement RAG (Retrieval Augmented Generation) with multimodal indexing. Optimization & Performance Engineering Optimize model latency for real-time content tagging or streaming workflows.



MLOps and Deployment Build CI/CD pipelines for ML using GitHub Actions, Jenkins, or Azure DevOps. Deploy models as microservices using Docker, Kubernetes, KServe, or FastAPI. Integrate observability tools (Prometheus, Grafana) for model monitoring. Media Engineering Integration Integrate AI into CMS platforms, OTT apps, media asset management (MAM) systems. Create APIs for search, recommendations, auto-captioning, and content summaries. Collaboration & Mentorship Collaborate with product, content, and media engineering teams. Must-Have Skills Solid Python + PyTorch/TensorFlow. Experience with NLP, CV, speech models . Knowledge of multimodal LLM frameworks (LangChain, LLaVA, LlamaIndex). Hands-on with Kubernetes, Docker, CI/CD. Preferred Skills Experience with Whisper, BLIP, ViT, SAM, and video transformers. Experience with cloud ML stacks: SageMaker, Vertex AI, Azure ML.

📌 Lead ML / Data Scientist (Bengaluru)
🏢 Happiest Minds Technologies
📍 Bengaluru