AI/ML Engineer

BirajTech Services; Ahmedabad District; On-site; INR 600,000 - 900,000; Full time

Job summary

BirajTech Services seeks an AI/ML Engineer to develop, optimize, and maintain intelligent speech-to-text and medical NLP systems. You will automate transcription workflows, improve accuracy, and shorten turnaround times while ensuring the security of medical data.

You will build NLP pipelines for medical terminology, work with cloud-based speech services, and collaborate with QA and transcription teams to continually enhance model performance. Freshers with strong NLP/speech projects are welcome.

Qualifications

• 1–3 years in AI/ML, NLP, or Speech Recognition.
• Freshers with strong NLP/speech projects welcome.

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 (AWS Transcribe Medical, Azure Cognitive Speech, Google Speech-to-Text).
• Create APIs for integration with EMR/EHR systems and workflow software.
• Collaborate with QA and transcription teams to improve model accuracy with real data.
• Ensure data security and HIPAA/GDPR compliance in training and storage.

Skills

Python

NLP & ML

Speech recognition frameworks

Transformer models

Git

Cloud services

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

• 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.

Required Technical Skills

• 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

Preferred Skills (Added Advantage)

• 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

Soft Skills

• 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)

Experience Required

• 1–3 years in AI/ML, NLP, or Speech Recognition
• (Freshers with strong projects are welcome if they show capability in NLP/speech tasks)