Azra AI
This range is provided by Azra AI. Your actual pay will be based on your skills and experience talk with your recruiter to learn more.
Base pay range
$170,000.00/yr - $200,000.00/yr Shape the Future of Healthcare AI with Azra Are you passionate about building AI that saves lives? Do you want to push the boundaries of machine learning by creating systems that act, learn, and adapt in the real world? Azra AI is looking for a
Principal Data Scientist
to lead the next generation of healthcare AIexpanding beyond NLP into imaging, time-series signals, and eventually agentic intelligence. Weve already transformed how cancer is identified by analyzing millions of
pathology and radiology
reports. Now, were deepening our impact in oncology and expanding into
cardiology, neurology , and
medical imaging . If youre experienced in fine-tuning foundation models, deploying production-grade AI in complex clinical environments, and excited by the potential of agentic AI systems, this is your opportunity to drive innovation with real-world purpose. What Youll Do Lead and Architect AI Models
Own the end-to-end development of deep learning and machine learning models for healthcare use cases. Design and fine-tune transformer-based NLP models (e.g.,
MEGA, BERT, BioBERT ) for
NER, information extraction , classification, summarization, and generative tasks. Build state-of-the-art models for
medical image analysis
(X-ray, CT, MRI) using CNNs, ViTs, and 3D architectures (e.g.,
YOLO, EfficientNet, VGG, ViT ). Incorporate
semi-supervised, weakly-supervised , and
transfer learning
techniques to improve performance with limited labeled data. Implement advanced strategies such as
RAG, GraphRAGs , and long-context modeling for clinical reasoning. Build Towards Agentic AI
Collaborate with leadership to define the roadmap for
agentic AI systems autonomous agents that make decisions, take action, and learn continuously from real-world data. Innovate in
prompt engineering , autonomous task orchestration, and clinical decision frameworks. Expand into Multi-Modal Healthcare Data
Work with structured and unstructured data from multiple domains: Pathology and radiology reports Cardiology : both clinical narratives and potentially
ECG signals
(requiring signal processing knowledge) Neurology : text-based reports as well as
EEG signals
and potentially
fMRI
scans Support multimodal modeling combining text, image, and signal data. Drive Production-Grade MLOps
Own robust
CI/CD pipelines
for ML/DL model training, validation, deployment, and monitoring. Ensure scalability, observability, and compliance across hospital deployments. Build model monitoring, quality control, and
orchestration workflows
to manage complex inference pipelines. Work Cross-Functionally
Collaborate with engineering, product, and clinical teams to turn models into intuitive, trustworthy features. Contribute to a high-performing culture driven by curiosity, speed, rigor, and impact. What Were Looking For Required Experience
8+ years in machine learning, deep learning, or data science, with a focus on
healthcare or clinical applications . Strong experience with
transformer-based NLP models
and
medical image models . Hands-on experience with
semi-supervised ,
weakly-supervised , and
transfer learning
techniques. Proficient in
Python , especially with
PyTorch ,
Hugging Face ,
spaCy ,
scikit-learn , and
pandas . Production experience in
GCP
(Vertex AI, BigQuery, Cloud Storage) or similar cloud platforms. Background in
MLOps : model deployment, lifecycle management, and monitoring in production. Experience working with
clinical data
(radiology, pathology, EHR/EMR), including HIPAA compliance and data privacy. Bonus Points
Experience with
agentic AI
systems or autonomous task agents. Familiarity with
Streamlit
or lightweight UIs for internal model monitoring and visualization. Strong foundation in
medical imaging , including
2D, 2.5D, and 3D processing techniques . Signal processing expertise for
ECG ,
EEG , or other biomedical time-series data. Familiarity with
Docker ,
GitLab , and relational databases ( PostgreSQL, MySQL ). Qualification: Bachelors or Masters degree in computer science or related field. PhD in data science is a plus. Why Join Azra AI? You wont just be training modelsyoull be advancing the frontiers of healthcare. Youll join a mission-driven team where your ideas matter, your models are used in real hospitals, and your work can directly save lives. Join us.
Build AI that matters. Seniority level
Mid-Senior level Employment type
Full-time Job function
Engineering and Information Technology Industries
Hospitals and Health Care #J-18808-Ljbffr
$170,000.00/yr - $200,000.00/yr Shape the Future of Healthcare AI with Azra Are you passionate about building AI that saves lives? Do you want to push the boundaries of machine learning by creating systems that act, learn, and adapt in the real world? Azra AI is looking for a
Principal Data Scientist
to lead the next generation of healthcare AIexpanding beyond NLP into imaging, time-series signals, and eventually agentic intelligence. Weve already transformed how cancer is identified by analyzing millions of
pathology and radiology
reports. Now, were deepening our impact in oncology and expanding into
cardiology, neurology , and
medical imaging . If youre experienced in fine-tuning foundation models, deploying production-grade AI in complex clinical environments, and excited by the potential of agentic AI systems, this is your opportunity to drive innovation with real-world purpose. What Youll Do Lead and Architect AI Models
Own the end-to-end development of deep learning and machine learning models for healthcare use cases. Design and fine-tune transformer-based NLP models (e.g.,
MEGA, BERT, BioBERT ) for
NER, information extraction , classification, summarization, and generative tasks. Build state-of-the-art models for
medical image analysis
(X-ray, CT, MRI) using CNNs, ViTs, and 3D architectures (e.g.,
YOLO, EfficientNet, VGG, ViT ). Incorporate
semi-supervised, weakly-supervised , and
transfer learning
techniques to improve performance with limited labeled data. Implement advanced strategies such as
RAG, GraphRAGs , and long-context modeling for clinical reasoning. Build Towards Agentic AI
Collaborate with leadership to define the roadmap for
agentic AI systems autonomous agents that make decisions, take action, and learn continuously from real-world data. Innovate in
prompt engineering , autonomous task orchestration, and clinical decision frameworks. Expand into Multi-Modal Healthcare Data
Work with structured and unstructured data from multiple domains: Pathology and radiology reports Cardiology : both clinical narratives and potentially
ECG signals
(requiring signal processing knowledge) Neurology : text-based reports as well as
EEG signals
and potentially
fMRI
scans Support multimodal modeling combining text, image, and signal data. Drive Production-Grade MLOps
Own robust
CI/CD pipelines
for ML/DL model training, validation, deployment, and monitoring. Ensure scalability, observability, and compliance across hospital deployments. Build model monitoring, quality control, and
orchestration workflows
to manage complex inference pipelines. Work Cross-Functionally
Collaborate with engineering, product, and clinical teams to turn models into intuitive, trustworthy features. Contribute to a high-performing culture driven by curiosity, speed, rigor, and impact. What Were Looking For Required Experience
8+ years in machine learning, deep learning, or data science, with a focus on
healthcare or clinical applications . Strong experience with
transformer-based NLP models
and
medical image models . Hands-on experience with
semi-supervised ,
weakly-supervised , and
transfer learning
techniques. Proficient in
Python , especially with
PyTorch ,
Hugging Face ,
spaCy ,
scikit-learn , and
pandas . Production experience in
GCP
(Vertex AI, BigQuery, Cloud Storage) or similar cloud platforms. Background in
MLOps : model deployment, lifecycle management, and monitoring in production. Experience working with
clinical data
(radiology, pathology, EHR/EMR), including HIPAA compliance and data privacy. Bonus Points
Experience with
agentic AI
systems or autonomous task agents. Familiarity with
Streamlit
or lightweight UIs for internal model monitoring and visualization. Strong foundation in
medical imaging , including
2D, 2.5D, and 3D processing techniques . Signal processing expertise for
ECG ,
EEG , or other biomedical time-series data. Familiarity with
Docker ,
GitLab , and relational databases ( PostgreSQL, MySQL ). Qualification: Bachelors or Masters degree in computer science or related field. PhD in data science is a plus. Why Join Azra AI? You wont just be training modelsyoull be advancing the frontiers of healthcare. Youll join a mission-driven team where your ideas matter, your models are used in real hospitals, and your work can directly save lives. Join us.
Build AI that matters. Seniority level
Mid-Senior level Employment type
Full-time Job function
Engineering and Information Technology Industries
Hospitals and Health Care #J-18808-Ljbffr