Lead Machine Learning Scientist - NLP & Speech AI

Job Title : Principal Machine Learning Architect Speech & Multimodal AI.

Experience : 10+ years.

Location : Remote.

Type : Contract.

About the Role :

We are seeking a highly experienced Principal Machine Learning Architect with deep expertise in Speech, NLP, Computer Vision, and Multimodal AI.

This role requires strong leadership in designing, building, and optimizing advanced ML architectureswith a focus on speech recognition (ASR), text-to-speech (TTS), and Large Language Models (LLMs) for real-world multimodal applications.

Key Responsibilities :

- Architect, design, and optimize ML models in NLP, Computer Vision, Speech Recognition, and TTS.

- Build and fine-tune Transformer and LLM-based models for speech and multimodal use cases.

- Create and deploy a Speech LLM-based virtual assistant solution.

- Develop scalable ML pipelines for data preparation, feature engineering, training, and evaluation.

- Work on audio signal processing including encoding, decoding, modality fusion, and LLM interaction.

- Implement automated training, deployment, and monitoring workflows using MLOps frameworks.

- Collaborate with cross-functional teams to deliver production-grade AI solutions.

Required Skills & Qualifications :

- 10+ years of experience in Machine Learning, Deep Learning, or AI, with a strong focus on Speech and NLP.

- Proven expertise in ASR (Automatic Speech Recognition), TTS (Text-to-Speech), Multimodal AI, and Audio Signal Processing.

- Deep understanding of Transformer Architectures and LLM fine-tuning.

- Strong programming skills in Python, with hands-on experience in PyTorch and/or TensorFlow.

- Experience with Docker, Kubernetes, Airflow, and serverless computing.

- Prior experience designing automated model pipelines and implementing MLOps best practices.

- Strong problem-solving, leadership, and communication skills.