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 Py Torch, Tensor Flow, or similar ML frameworks.
Knowledge of NLP frameworks such as Hugging Face, spa Cy, or NLTK.
Understanding of model training, evaluation, and deployment.
Strong analytical and problem-solving skills.
Valuable to Have
Experience with Whisper, Wav2 Vec2, Kaldi, Deep Speech, or similar speech technologies.
Experience with LLMs and Generative AI applications.
Familiarity with Fast API, Docker, and cloud platforms (AWS/GCP/Azure).
Exposure to MLOps and production ML systems.
Understanding of language assessment, educational testing, or communication evaluation platforms.

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