Job Description
Role Overview:
We’re looking for a Backend + ML Engineer who can build scalable APIs, manage secure patient data flow, and support AI model integration. You will work alongside AI engineers, front end developers, and field researchers to operationalize models for real-time use, especially on edge devices.
Responsibilities:
Design and develop robust backend systems to handle real-time patient data and ML outputs.
Integrate machine learning models (e.g. symptom-to-diagnosis classifiers, RCA engines) with APIs and the main O-Health app.
Optimize model serving pipelines (e.g. using TorchServe, FastAPI, or ONNX).
Manage data pipelines for de-identified OPD datasets used in model training and inference.
Implement data encryption, anonymization, and consent-based data access.
Set up backend support for multilingual voice and text processing.
Support versioning and A/B testing of health algorithms.
Required Skills:Backend Engineering
Strong in Python with frameworks like FastAPI, Flask, or Django.
Experience with RESTful APIs, WebSockets, and asynchronous data flows.
Familiar with PostgreSQL, MongoDB, or time-series databases.
Working knowledge of Docker, Git, and CI/CD pipelines.
Machine Learning Ops
Hands-on with PyTorch, Scikit-learn, or TensorFlow for inference integration.
Comfortable with model optimization, quantization, and edge deployment formats (e.g. ONNX, TFLite).
Familiarity with language models (LLMs) and multilingual NLP is a strong plus.
Knowledge of data preprocessing, tokenization, and feature engineering for clinical/NLP tasks.
Other Preferred Skills
Understanding of HIPAA/GDPR compliance.
Experience working on healthcare, social impact, or AI-for-good projects.
What You'll Impact:
You’ll play a pivotal role in connecting machine learning research with field-ready healthcare tools. Your work will help scale diagnosis support systems to thousands of underserved patients and power multilingual health consultations in real-time.
We’re looking for a Backend + ML Engineer who can build scalable APIs, manage secure patient data flow, and support AI model integration. You will work alongside AI engineers, front end developers, and field researchers to operationalize models for real-time use, especially on edge devices.
Responsibilities:
Design and develop robust backend systems to handle real-time patient data and ML outputs.
Integrate machine learning models (e.g. symptom-to-diagnosis classifiers, RCA engines) with APIs and the main O-Health app.
Optimize model serving pipelines (e.g. using TorchServe, FastAPI, or ONNX).
Manage data pipelines for de-identified OPD datasets used in model training and inference.
Implement data encryption, anonymization, and consent-based data access.
Set up backend support for multilingual voice and text processing.
Support versioning and A/B testing of health algorithms.
Required Skills:Backend Engineering
Strong in Python with frameworks like FastAPI, Flask, or Django.
Experience with RESTful APIs, WebSockets, and asynchronous data flows.
Familiar with PostgreSQL, MongoDB, or time-series databases.
Working knowledge of Docker, Git, and CI/CD pipelines.
Machine Learning Ops
Hands-on with PyTorch, Scikit-learn, or TensorFlow for inference integration.
Comfortable with model optimization, quantization, and edge deployment formats (e.g. ONNX, TFLite).
Familiarity with language models (LLMs) and multilingual NLP is a strong plus.
Knowledge of data preprocessing, tokenization, and feature engineering for clinical/NLP tasks.
Other Preferred Skills
Understanding of HIPAA/GDPR compliance.
Experience working on healthcare, social impact, or AI-for-good projects.
What You'll Impact:
You’ll play a pivotal role in connecting machine learning research with field-ready healthcare tools. Your work will help scale diagnosis support systems to thousands of underserved patients and power multilingual health consultations in real-time.
💡 Quick Summary
Seeking a career-building opportunity? The Backend Developer ML Engineer position is now open for candidates interested in the IT Engineer & Developer Jobs sector. This role in Bangalore offers a professional environment and growth potential.
Requirement Snapshot: Candidates should possess basic communication skills, a proactive attitude, and the ability to work in a team. Experience in IT Engineer & Developer Jobs is a plus.
