
AIRA Matrix offers advanced Artificial Intelligence solutions tailored for healthcare and life sciences. Their offerings combine expertise in image analysis and predictive analytics to enhance pharmaceutical and healthcare outcomes. Key products include solutions for drug discovery, preclinical research (such as Quality Control, Safety Assessment, and Image Management), and clinical applications (like Prostate Diagnostics, Stratification, and Prediction). The company also provides services such as Digital Pathology as a Service (DPaaS) and Custom AI Development. AIRA Matrix aims to reduce turnaround times, minimize errors, ensure consistency, and provide comprehensive insights by analyzing multimodal data, thereby redefining risk stratification and predictive processes.

AIRA Matrix offers advanced Artificial Intelligence solutions tailored for healthcare and life sciences. Their offerings combine expertise in image analysis and predictive analytics to enhance pharmaceutical and healthcare outcomes. Key products include solutions for drug discovery, preclinical research (such as Quality Control, Safety Assessment, and Image Management), and clinical applications (like Prostate Diagnostics, Stratification, and Prediction). The company also provides services such as Digital Pathology as a Service (DPaaS) and Custom AI Development. AIRA Matrix aims to reduce turnaround times, minimize errors, ensure consistency, and provide comprehensive insights by analyzing multimodal data, thereby redefining risk stratification and predictive processes.
Responsibilities:
Design the data pipelines and engineering infrastructure to support our clients’
enterprise machine learning systems at scale
Take offline models data scientists build and turn them into a real machine
learning production system
Develop and deploy scalable tools and services for our clients to handle machine
learning training and inference
Identify and evaluate new technologies to improve performance, maintainability,
and reliability of our clients’ machine learning systems
Apply software engineering rigor and best practices to machine learning,
including CI/CD, automation, etc.
Support model development, with an emphasis on auditability, versioning, and
data security
Facilitate the development and deployment of proof-of-concept machine learning
systems
Communicate with clients to build requirements and track progress
Qualifications:
Experience building end-to-end systems as a Platform Engineer, ML DevOps
Engineer, or Data Engineer (or equivalent)
Strong software engineering skills in complex, multi-language systems
Fluency in Python
Comfort with Linux administration
Experience working with cloud computing and database systems
Experience building custom integrations between cloud-based systems using APIs
Experience developing and maintaining ML systems built with open source tools
Experience developing with containers and Kubernetes in cloud computing environments
Familiarity with one or more data-oriented workflow orchestration frameworks (KubeFlow, Airflow, Argo, etc.)
Ability to translate business needs to technical requirements
Strong understanding of software testing, benchmarking, and continuous integration
Exposure to machine learning methodology and best practices
Exposure to deep learning approaches and modeling frameworks (PyTorch,
Tensorflow, Keras, etc.)
Total Experience: 4+ years
Education Qualification: BE/B.Tech/MCA/M.Sc/M.Tech
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Regards,
Surya Prajapati
Talent Acquisition Expert
Email :surya.prajapati@airamatrix.com
Website : https://www.airamatrix.com
Dosti Pinnacle, 801, Rd No. 22, Wagle Industrial Estate , Thane (W) Maharashtra, India - 400604.