We are hiring a Senior NLP / AI Engineer to build and scale production-grade AI systems across multilingual NLP, speech, LLM, and RAG use cases for enterprise deployments.

Location : Noida (Hybrid)

Experience : 4+ years (Production ML / NLP)

Job Type : Full-Time

Responsibilities :

- Train, fine-tune, and deploy models for Neural Machine Translation, Transliteration, ASR, TTS, LLMs, and RAG.

- Build multilingual systems supporting 20+ Indian languages.

- Optimize models using quantization, pruning, and inference acceleration.

- Develop real-time and batch pipelines for speech, translation, and RAG workloads.

- Architect and deploy RAG pipelines, embedding models, and vector databases.

- Manage and optimize GPU infrastructure on AWS and GCP.

- Deploy and maintain high-availability AI APIs with monitoring and failover.

Required Skills :

- 4+ years experience in production NLP / ML systems.

- Strong hands-on experience with Python, PyTorch, TensorFlow.

- Experience with Speech-to-Text, Text-to-Speech, Transformer architectures, and open-source LLMs.

- Hands-on with CTranslate2, Faster-Whisper, ONNX Runtime, vLLM / SGLang, and LLM quantization (INT4 / INT8 / AWQ).

- Experience building RAG systems using FAISS or Pinecone.

- Strong Linux, Docker, and FastAPI experience.

- Hands-on experience managing GPU infrastructure on AWS / GCP.

- Strong multilingual NLP experience, especially Indian languages.

Good to Have :

- NVIDIA NeMo, WebRTC or real-time streaming systems, Streamlit or Gradio for AI demos.

- Immediate joiners or candidates with notice period up to 30 days are strongly preferred.