149+ Applicants
Posted: 2 weeks ago
1-3 years
Ahmedabad, Gujarat
work from office
Posted: 2 weeks ago
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Applicants: 149+
Job Description
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Job Description
Overview
We are looking for a skilled AI/ML Engineer to develop, optimize, and maintain intelligent speech-to-text and medical NLP systems. The ideal candidate will work on automating transcription workflows, improving accuracy, reducing turnaround time, and enhancing the quality of medical documents.
Key Responsibilities
We are looking for a skilled AI/ML Engineer to develop, optimize, and maintain intelligent speech-to-text and medical NLP systems. The ideal candidate will work on automating transcription workflows, improving accuracy, reducing turnaround time, and enhancing the quality of medical documents.
Key Responsibilities
- Develop and fine-tune speech recognition models for doctor dictations (UK, US, India accents).
- Build NLP pipelines for medical terminology, abbreviations, and context understanding.
- Implement error detection, auto-correction, and QA automation in transcription outputs.
- Integrate with voice services such as AWS Transcribe Medical, Azure Cognitive Speech, or Google Speech-to-Text.
- Create APIs for seamless integration with existing transcription tools, EMR/EHR systems, and workflow software.
- Work closely with QA and transcription teams to continuously improve model accuracy using real transcription datasets.
- Ensure data security and HIPAA/GDPR compliance in model training and storage.
- Strong knowledge of Python
- Deep understanding of NLP & Machine Learning
- Experience in speech recognition frameworks such as: Whisper / Vosk / DeepSpeech / Kaldi
- Familiarity with transformer models: BERT, BioBERT, ClinicalBERT, GPT-based medical NLP
- Experience with Git for code management
- Experience with cloud services (any one of the following): AWS, Azure, or GCP
- Medical terminology understanding (ICD-10, drugs, symptoms, CPT codes)
- Experience with FastAPI or Django for backend services
- Knowledge of data labeling, speech dataset creation, and model evaluation
- Exposure to LLM fine-tuning or prompt engineering
- Clear communication and analytical thinking
- Problem-solving with minimal supervision
- Willingness to experiment and build proof-of-concept models
- Ability to work closely with cross-functional teams (QA, medical reviewers, transcription operators)
- 1–3 years in AI/ML, NLP, or Speech Recognition
- (Freshers with strong projects are welcome if they show capability in NLP/speech tasks)
Skills
PythonMachine LearningAi/mlPrompt EngineeringAi/ml EngineerMl EngineerDjangoAiMlIf a job posting appears fraudulent, asks for payment, contains misleading information, or violates our guidelines, please report it immediately. Our team will review it promptly, Jobaaj does not charge any fee from the applicants.
Important dates & deadlines?
Application Deadline
05 Oct 26, 04:38 PM IST
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