Senior Data Scientist

Happiest Minds Technologies; Hyderabad; On-site; INR 1,500,000 - 2,500,000; Full time

Job summary

Happiest Minds Technologies in Hyderabad is looking for a Senior Data Scientist to build production-grade ML and multimodal systems supporting media workflows including automated metadata extraction and video understanding. This role involves mentoring junior engineers and developing robust pipelines.

The ideal candidate will have expertise in Python, ML frameworks like PyTorch or TensorFlow, and experience with NLP and Computer Vision. Join us in integrating AI into CMS platforms and OTT applications.

Qualifications

• Strong proficiency in Python programming.
• Experience with machine learning frameworks like PyTorch or TensorFlow.
• Knowledge of NLP and Computer Vision techniques.
• Familiarity with Vector Search technologies.

Responsibilities

• Build and deploy multimodal ML models spanning NLP, CV, ASR, OCR, and video analytics.
• Develop robust pipelines for video frame extraction and speech-to-text.
• Optimize model latency for real-time tagging workflows.
• Deploy models as microservices using Docker and Kubernetes.

Skills

Python

PyTorch or TensorFlow

NLP and Computer Vision

Vector Search (FAISS, Pinecone, Weaviate)

Kubernetes and Docker

Tools

FastAPI

Observability Tools (Prometheus, Grafana)

Job description

The Senior Data Scientist builds production‑grade ML and multimodal systems that support media workflows such as automated metadata extraction, video understanding, speech transcription, moderation, and recommendation. This role owns model development, MLOps integration, and production deployment while mentoring junior engineers. The engineer develops robust pipelines spanning NLP, CV, ASR, OCR, and video analytics, and integrates AI into CMS platforms, OTT apps, and media asset management systems.

Key Responsibilities

• 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, and multimodal embeddings (CLIP, SigLIP, VideoCLIP).
• Implement RAG (Retrieval Augmented Generation) with multimodal indexing.
• Optimize model latency for real‑time content tagging or streaming workflows.
• Implement batching, quantization, distillation, or GPU optimizations.
• 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.
• Integrate AI into CMS platforms, OTT apps, and media asset management (MAM) systems.
• Create APIs for search, recommendations, auto‑captioning, and content summaries.
• Collaborate with product, content, and media engineering teams.
• Mentor associate engineers and review code.

Must Have Skills

• Python
• PyTorch or TensorFlow
• NLP and Computer Vision
• Vector Search (FAISS, Pinecone, Weaviate)
• Kubernetes and Docker

Good To Have Skills

• Speech Recognition (ASR)
• OCR
• RAG (Retrieval Augmented Generation)
• FastAPI
• Observability Tools (Prometheus, Grafana)