Senior Data Scientist - Natural Language Processing (nlp)
- Happiest Minds
- 3 - 5 years
- Bengaluru
- 1 day ago
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Job Description
- 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 detection o Speech-to-text, speaker diarization o Image tagging, content moderation o 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
- Qualifications 3-5 years+ ML engineering experience
- Bachelors/Masters in CS/AI
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Data Science & AnalyticsRole Category: Data Science & Machine LearningRole: Data ScientistEmployement Type: Full timeContact Details:
Company: Happiest MindsLocation(s): Bengaluru+ View Contact
Keyskills: ASR metadata Transcription CMS Engineering Manager Natural language processing Asset management Analytics Monitoring Python
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