Machine Learning Engineer | Speech AI & NLP

Job Title Machine Learning Engineer | Speech AI & NLP Location Remote / Hybrid Experience 0–4 Years Employment Type Full-Time About Company An AI-driven HR Tech company building intelligent assessment and hiring solutions. We leverage Machine Learning, Speech AI, NLP, and Generative AI to evaluate communication skills and improve talent decision-making at scale. Role Overview We are looking for a Machine Learning Engineer with experience in Speech AI, NLP, and Applied AI to build systems that evaluate Listening, Speaking, Reading, and Writing (LSRW) skills.

You will develop and deploy ML models that assess pronunciation, fluency, comprehension, grammar, vocabulary, and overall communication effectiveness. Key Responsibilities Design, train, and deploy ML models for communication and language assessment. Build speech-to-text and language understanding pipelines.

Develop automated scoring systems for spoken and written communication. Work with NLP, Speech Recognition, and Large Language Models (LLMs). Build scalable ML services and APIs using Python.

Monitor and improve model performance in production environments. Required Qualifications 0–4 years of experience in Machine Learning, NLP, Speech AI, or Applied AI. Strong proficiency in Python.

Experience with PyTorch, TensorFlow, or similar ML frameworks. Knowledge of NLP frameworks such as Hugging Face, spaCy, or NLTK. Understanding of model training, evaluation, and deployment.

Strong analytical and problem-solving skills. Good to Have Experience with Whisper, Wav2Vec2, Kaldi, DeepSpeech, or similar speech technologies. Experience with LLMs and Generative AI applications.

Familiarity with FastAPI, Docker, and cloud platforms (AWS/GCP/Azure). Exposure to MLOps and production ML systems. Understanding of language assessment, educational testing, or communication evaluation platforms.