Job Title: AI/ML Engineer (Voice & Language Models) Experience: 4 Years Location: [Insert Location or Remote Option] Employment Type: Full-time We are looking for a passionate and skilled AI/ML Engineer with 4 years of experience in developing and deploying AI-driven solutions. The ideal candidate should have hands-on expertise in Large Language Models (LLMs), speech processing, voice engines, text-to-speech (TTS), and speech-to-text (STT) systems. Key Responsibilities: 1. Design, develop, and fine-tune AI and ML models for natural language processing and speech recognition. 2. Integrate and optimize LLMs for conversational agents, chatbots, and voice assistants. 3. Work with TTS and STT engines for real-time and offline speech processing applications. 4. Develop pipelines for data preprocessing, model training, evaluation, and deployment. 5. Implement AI-driven voice interaction, emotion recognition, and intent analysis. 6. Collaborate with product, backend, and front-end teams to integrate AI modules into applications. 7. Research and experiment with new model architectures and APIs from OpenAI, Anthropic, Google, Meta, or Hugging Face. 8. Deploy and monitor models in cloud or edge environments with scalability in mind. Required Skills and Experience: 1. Proficiency in Python and ML frameworks such as TensorFlow, PyTorch, Keras, and Scikit-learn. 2. Experience working with LLMs (e.g., GPT, LLaMA, Claude, Mistral, Gemini, Falcon). 3. Strong understanding of speech processing technologies (TTS, STT, ASR). 4. Experience with NLP/NLU tasks such as text classification, sentiment analysis, and question answering. 5. Familiarity with LangChain, Hugging Face Transformers, OpenAI API, and RAG frameworks. 6. Experience deploying ML models via FastAPI, Flask, or cloud ML services (AWS Sagemaker, GCP Vertex AI, Azure ML). 7. Understanding of vector databases (Pinecone, FAISS, Weaviate, Chroma). 8. Good grasp of data preprocessing, model evaluation, and fine-tuning techniques. 9. Knowledge of DevOps/MLOps pipelines for continuous deployment of models. Preferred Qualifications: 1. Experience with voice cloning, emotion detection, and multilingual models. 2. Knowledge of audio signal processing and related libraries (Librosa, Whisper, DeepSpeech). 3. Familiarity with LLM orchestration and agentic frameworks (LangGraph, LlamaIndex). Apply to 2024 # dasarpita # @gmail.com