Ekloud - Lead Machine Learning Engineer - NLP

About The Role

We are seeking a highly experienced and technically deep Lead Machine Learning Engineer with a specialization in Speech AI, Natural Language Processing (NLP), and Generative AI (GenAI). This role is instrumental in architecting and scaling a production-grade speech-based virtual assistant powered by Large Language Models (LLMs), advanced audio signal processing, and multimodal intelligence. You will lead a team of ML engineers and collaborate closely with product, research, and DevOps stakeholders to develop and deploy cutting-edge AI solutions.

Key Responsibilities

ML Architecture & Modeling :

• Architect, design, and implement advanced machine learning models across speech recognition (ASR), text-to-speech (TTS), NLP, and multimodal tasks.
• Lead the development and fine-tuning of Transformer-based LLMs, including encoder-decoder architectures for audio and text tasks.
• Build custom audio-LLM interaction frameworks, including techniques like modality fusion, speech understanding, and language generation.

Virtual Assistant Development

MLOps & Scalable Pipelines

Research And Innovation

Required Technical Skills

Preferred Qualifications

(ref : hirist.tech)

Skills Required

Machine Learning, Tensorflow, Pytorch, Gcp, MLops, Docker, Azure, Python, Kubernetes, Aws