Company Description O-Health is digital healthcare company dedicated to AI-driven digital solutions. Our platform connects patients in remote areas to doctors and utilizes NLP and AI for diagnostics. Role Description This is a full-time on-site role for a NLP + ML Engineer at O-Health located in Bengaluru. The NLP + ML Engineer will be responsible for pattern recognition in text, working with neural networks, implementing algorithms, and analyzing statistics on a daily basis in a healthtech ecosystem. Qualifications Experience in Neural Networks, Data Science and Pattern Recognition Strong background in Computer Science and Statistics Proficiency in machine learning frameworks and tools Excellent problem-solving and analytical skills Ability to work collaboratively in a team environment Master's/Bachelor's in Computer Science, Engineering, Mathematics, or related field with atleast 4 years of experience Experience in development of multi-lingual ASR systems Responsibilities: Design and develop robust backend systems to handle real-time patient data and ML outputs. Develop and integrate machine learning models with APIs to the main O-Health application. 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. Development of 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 with experience in DBMS. Experience with RESTful APIs, WebSockets, and asynchronous data flows. Familiar with PostgreSQL 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. Knowledge of data preprocessing, tokenization, and feature engineering for clinical/NLP tasks. Other Required 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. Show more Show less
About the job: Role description: We are looking for a Telugu Software Tester to help test and validate our Telugu voice-based symptom analysis engine. You will be responsible for thoroughly testing the app's ability to handle Telugu voice inputs, ensuring accurate transcription, symptom detection, and end-to-end performance. This is a part time or full-time role located in Remote/Bangalore. The Software Tester will be responsible for test execution, analytical skills, software testing, quality assurance, and creating test cases. Key responsibilities: 1. Test the O-Health mobile and web applications using Telugu audio inputs (both pre-recorded and live). 2. Check for errors in speech-to-text transcription, symptom extraction, and more 3. Log, reproduce, and report bugs, misclassifications, and edge case issues in a structured format (e.g., Excel or JIRA). 4. Collaborate with the NLP and engineering team to provide feedback on false positives/negatives in Telugu symptom detection or audio capture. 5. Validate audio-to-output pipelines from voice input ASR symptom report doctor dashboard. 6. Create test cases for varied dialects, speed, medical vocabulary, and rural vs urban phrasing in Telugu with various test cases like simulating audio input in a noiseless and noisy environment. 7. Assist with manual and automated testing efforts, ensuring smooth voice UI performance under real conditions. Qualifications: 1. Proficient knowledge of Telugu language is a requirement 2. Test execution and software testing skills 3. Analytical skills 4. Quality assurance 5. Experience in creating test cases 6. Ability to work collaboratively in a team environment 7. Excellent problem-solving skills Who can apply: Only those candidates can apply who: are Computer Science Engineering students Salary: ₹ 2,00,000 - 2,00,001 /year Experience: 0 year(s) Deadline: 2025-06-27 23:59:59 Skills required: Software Testing About Company: O-Health is a digital health-tech platform revolutionizing access to healthcare in underserved communities through AI-powered digital healthcare. We work at the intersection of voice technology with regional languages and medical intelligence. Our flagship product enables patients to describe symptoms in their native language, including Telugu, through voice, which our AI interprets to generate clinical summaries and assist doctors.
As a Backend + ML Engineer at our company, you will be responsible for building scalable APIs, managing secure patient data flow, and supporting AI model integration. Your role will involve collaborating with AI engineers, front-end developers, and field researchers to operationalize models for real-time use, particularly on edge devices. Your key responsibilities will include designing and developing robust backend systems to handle real-time patient data and ML outputs, integrating machine learning models with APIs and the main O-Health app, optimizing model serving pipelines, managing data pipelines for de-identified OPD datasets, implementing data encryption and anonymization, setting up backend support for multilingual voice and text processing, and supporting versioning and A/B testing of health algorithms. To excel in this role, you should have expertise in Backend Engineering, including strong proficiency in Python with frameworks like FastAPI, Flask, or Django, experience with RESTful APIs, WebSockets, and asynchronous data flows, familiarity with databases such as PostgreSQL, MongoDB, or time-series databases, and working knowledge of Docker, Git, and CI/CD pipelines. Additionally, you should possess skills in Machine Learning Ops, such as hands-on experience with PyTorch, Scikit-learn, or TensorFlow, model optimization, quantization, and edge deployment formats, familiarity with language models and multilingual NLP, and knowledge of data preprocessing and feature engineering for clinical/NLP tasks. Preferred skills for this role include an understanding of HIPAA/GDPR compliance and experience working on healthcare, social impact, or AI-for-good projects. In this position, you will have a significant impact on connecting machine learning research with field-ready healthcare tools, scaling diagnosis support systems to underserved patients, and enabling multilingual health consultations in real-time. Join us in making a difference in the healthcare industry and contributing to the improvement of patient care.,
As an Al-powered digital healthcare startup committed to transforming healthcare accessibility for rural and underserved populations across India, O-Health integrates multilingual, voice-first interfaces with edge AI technology to provide intelligent, real-time symptom analysis and specialist mapping, even in low-connectivity environments. Having secured funding from Reliance Industries, the Bill & Melinda Gates Foundation, and Andhra MedTech Zone (AMTZ), O-Health is actively collaborating with the Massachusetts Institute of Technology (MIT), Boston, for the development of advanced healthcare AI models. We are expanding our services and impact and are seeking passionate and skilled individuals to join us in building the next generation of inclusive digital healthcare. This full-time on-site role for a Full Stack Developer at O-Health in Bengaluru involves handling end-to-end development, from mobile application (React Native) to backend infrastructure, database management, and deployment. The ideal candidate should have experience or knowledge in storing, transmitting, and anonymizing patient data effectively on servers in compliance with healthcare standards. Proficiency in React Native, Node.js, Express.js/Nest.js, Django/FastAPI, database management, cloud services, RESTful APIs, WebSockets, authentication & security protocols, CI/CD, and BLE data integrations is required. Responsibilities include developing and maintaining the O-Health Android application, building secure and scalable backend APIs, optimizing app performance, designing and managing database architecture, deploying backend infrastructure, implementing CI/CD pipelines, collaborating with ML engineers & frontend teams, debugging and optimizing API calls, database queries, and mobile app performance, and supporting versioning and A/B testing of health algorithms. Preferred qualifications include a degree in Computer Science or related field, 2+ years of professional experience, experience in React Native, and prior work in HealthTech or medical applications. Understanding of HIPAA compliance, experience in healthcare, social impact, or AI-for-good projects is also required. Join us at O-Health and play a pivotal role in developing field-ready healthcare tools that will help scale diagnosis support systems to thousands of underserved patients and power multilingual health consultations in real-time. Contact Details: Shashank Hegde Product Lead R&D, O-Health shashank.hegde@o-health.in,
As a NLP + ML Engineer at O-Health, you will be an integral part of our team in Bengaluru, working on cutting-edge AI-driven digital solutions in the healthcare sector. Your primary responsibility will be to utilize your expertise in Neural Networks, Data Science, and Pattern Recognition to enhance our platform that connects remote patients to doctors. Your role will involve designing and developing robust backend systems to manage real-time patient data and ML outputs. You will work on integrating machine learning models with APIs to enhance the main O-Health application. Additionally, you will be optimizing model serving pipelines and managing data pipelines for de-identified OPD datasets used in model training and inference. To excel in this role, you should have a strong background in Computer Science and Statistics, with proficiency in machine learning frameworks and tools. Your problem-solving and analytical skills will be put to the test as you work on pattern recognition in text and implement algorithms on a daily basis. Collaboration is key in our team environment, and your ability to work effectively with others will be crucial to your success. With a Master's/Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field and at least 4 years of experience, you will be well-equipped to take on the challenges of developing multi-lingual ASR systems and supporting versioning and A/B testing of health algorithms. Your impact at O-Health will be significant as you contribute to scaling diagnosis support systems for underserved patients and enabling real-time multilingual health consultations. Your work will bridge the gap between machine learning research and practical healthcare tools, making a difference in the lives of many individuals.,
You will be responsible for the following roles in Bangalore: Machine Learning Engineer: - Required to have 3+ years of experience in Machine Learning Development in healthcare, along with a Masters or PhD degree - Proficiency in Python, PyTorch/TensorFlow, and ML libraries such as Hugging Face and Sentence-Transformers is essential - Experience in model optimization including pruning, quantization, and knowledge distillation - Strong understanding of data preprocessing and working with clinical datasets - Familiarity with deploying ML models on edge devices and cloud platforms NLP Engineer: - Should have a minimum of 3 years of experience with specialization in NLP model development and optimization - Strong background in Python and NLP frameworks is required - Experience in handling large-scale text datasets, preferably clinical data - Hands-on knowledge of transformers, embeddings, and API development - Previous experience in the healthcare sector is a must, along with a Masters or PhD degree Join our team in revolutionizing healthcare accessibility and improving patient outcomes through AI-driven innovations! If you are interested in these roles, please send your CV to akshar.kr@o-health.in.,