Description :

- Lead end-to-end R&D; projects in AI/ML, with a focus on multimodal interaction, emotion AI, and conversational systems.
- Architect and develop AI-powered companions using NLP, ASR (Automatic Speech Recognition), TTS (Text-to-Speech), and intent recognition.
- Build prototypes and scalable systems for context-aware, emotion-aware, and real-time user interaction.
- Work on speech understanding, natural language generation, and dialogue management systems.
- Integrate cloud-edge deployment, privacy-aware design, and low-latency streaming models.
- Collaborate with product teams and designers to translate user needs into intelligent solutions.
- Keep up-to-date with cutting-edge AI/ML technologies and evaluate them for internal adoption.
- Contribute to research papers, patents, or whitepapers (if applicable).

Skill set :

- 5 years of experience in AI/ML/NLP, preferably in voice assistant, emotion AI, or conversational AI domains.
- Strong expertise in :
- Deep Learning (TensorFlow, PyTorch)




- NLP/NLU/NLG frameworks (spaCy, HuggingFace Transformers, Rasa, etc.)
- Speech Technologies (ASR : DeepSpeech, Whisper; TTS : Tacotron, FastSpeech)
- Knowledge Graphs, Context Modelling, Personalization
- Solid programming skills in Python, C , or JavaScript.
- Experience designing and deploying models on cloud & edge (AWS/GCP/Azure NVIDIA Jetson/Smartphones).
- Proven experience working in R&D; settings or academic-industry cooperative projects.
- Familiarity with real-time systems, low-latency architectures, and on-device optimization.
- Excellent communication and collaboration skills.
- Experience with human-AI interaction, affective computing, or multimodal systems is a strong plus.
- A bachelor's degree in computer science, engineering, or a related field is typically required, while a master's degree or relevant certifications may be preferred.

📌 Artificial Intelligence/Machine Learning Specialist (India)
🏢 Lancesoft India Private
📍 India