Lead Data Scientist - Nlp
- Happiest Minds
- 8 - 13 years
- Bengaluru
- 14 days ago
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Job Description
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:
- Video frame extraction, shot detection
- Speech-to-text, speaker diarization
- Image tagging, content moderation
- 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 Implement batching, quantization, distillation, or GPU optimizations
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 Mentor associate engineers and review code
Must-Have Skills Strong Python + PyTorch/TensorFlow Experience with NLP, CV, speech models Knowledge of multimodal LLM frameworks (LangChain, LLaVA, LlamaIndex) Strong understanding of vector search (Pinecone, Weaviate, FAISS) 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
Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Engineering - Software & QARole Category: DevOpsRole: DevOps Consultant / ArchitectEmployement Type: Full timeContact Details:
Company: Happiest MindsLocation(s): Bengaluru+ View Contact
Keyskills: ASR metadata Machine learning CMS Engineering Manager Natural language processing Asset management Analytics Monitoring Python
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