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Job Title Machine Learning Engineer | Speech AI & NLP Location Remote / Hybrid Experience 04 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 04 years of experience in Machine Learning, NLP, Speech AI, or Applied AI. Robust 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. Good 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. .
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.