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Lead Data Scientist - Python @ Happiest Minds

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Happiest Minds  Lead Data Scientist - Python

Job Description

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.

Job Classification

Industry: IT Services & Consulting
Functional Area / Department: Engineering - Software & QA
Role Category: DevOps
Role: DevOps Consultant / Architect
Employement Type: Full time

Contact Details:

Company: Happiest Minds
Location(s): Bengaluru

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Keyskills:   model monitoring kubernetes continuous integration cd python github modeling natural language processing workflow ci/cd machine learning azure devops docker microservices analytics grafana optimization predictive modeling jenkins prometheus ml ocr deployment

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