Happiest Minds - Senior AI/ML Engineer

Description :

Mandatory Skills :

- Strong Python coding skills are non-negotiable

- Regular use of Python functions and unit testing is essential

- Machine Learning, Deep Learning, NLP

- Hands-on experience with frameworks such as LangChain, LangGraph, or AutoGen (must)

- Experience with multi-agent and collaborative agent systems

- RAG experience is optional

- Experience with Azure cloud / Azure AI Foundry (preferred), AWS experience also acceptable

Role Summary :

The Senior 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.

Key Responsibilities :

Model & Pipeline Development :

- Build and deploy multimodal ML models spanning NLP, CV, ASR, OCR, and video analytics

- Develop robust pipelines for :

1. Video frame extraction, shot detection

2. Speech-to-text, speaker diarization

3. Image tagging, content moderation

4. 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 & 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, and 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 with PyTorch / TensorFlow

- Experience with NLP, CV, and speech models

- Knowledge of multimodal LLM frameworks (LangChain, LLaVA, LlamaIndex)

- Strong understanding of vector search (Pinecone, Weaviate, FAISS)

- Hands-on experience with Kubernetes, Docker, and CI/CD

Preferred Skills :

- Experience with Whisper, BLIP, ViT, SAM, and video transformers

- Experience with cloud ML stacks: SageMaker, Vertex AI, Azure ML