AI ML Engineer

Title: AI ML Engineer
Location: Gurgaon, Pune, and Bengaluru
Exp: 4–6 years

Job Description:
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.