This is a remote position.

We are looking for an Architect (AI-ML & Data Science) with a mandate to build the AI-ML & Data Science team at Intelehealth. The responsibilities include building a AI-ML roadmap and leading a small team of data scientists in the journey to its execution

As an Architect of AI-ML & Data Science, you will be responsible for integrating as well as designing and implementing advanced AI/ML algorithms and data science solutions that leverage healthcare data to drive insights and improve patient outcomes. You will be working with cross-functional teams of healthcare professionals, data scientists, engineers, and business stakeholders to define and deliver cutting-edge solutions that transform healthcare delivery.

The Architect (AI-ML & Data Science) plays an important part in our company’s product development process. Our ideal candidate would be someone who breathes AI-ML and believes in applying it to revolutionize digital healthcare especially in the Telemedicine space

If you are a highly motivated and results-oriented individual with a passion for leveraging healthcare data to drive insights and improve patient outcomes, we would love to hear from you.

• Design, develop AI/ML algorithms as well integrate off the shelf models & solutions, that enable assisted disease screening / differential diagnosis for conditions such as anemia, cataract as well as risk prediction for maternal and neonatal mortality etc
  

• Build/integrate AI-ML models for treatment of malnutrition, hypertension 
  

• Build predictive analytics models for Disease seasonality, enhanced MLE & clinical decision support
  

• Build and maintain data science pipelines and architectures that support efficient and scalable data processing, data analysis, and data modeling of electronic health records (EHRs) and other healthcare data sources
  

• Work closely with cross-functional teams to identify healthcare data and analytics requirements, and design and implement data-driven solutions that address clinical and business needs
  

• Evaluate and implement advanced technologies and frameworks that enable efficient and effective development of AI/ML and data science solutions in the healthcare domain
  

• Build Intelehealth’s Data Science & AI/ML team - by hiring the right talent & training/coaching
  

• Support the CTO to develop clear AI/ML strategy, innovation plans and timelines for execution
  

• Develop and maintain best practices and guidelines for data science, AI/ML development, and software engineering in the digital health domain
  

• Identify opportunities for automation, optimization and streamlining of data science and AI/ML workflows, and develop tools to support these efforts
  

• Ensure compliance with healthcare regulations and data privacy laws
  

Requirements

Qualifications:

• Bachelors or Masters degree in Computer Science, Data Science, Mathematics, or Engineering
  

Experience :

• Minimum 7 years of Industry work experience, of which at least 1-2 years as an Architect/ Tech lead.
  

• Minimum of 7 years of experience in developing/integrating & deploying AI/ML models and data science solutions, with a focus on architecturing and designing end-to-end solutions preferably in the digital health domain
  
• Strong R or Python skills and experience using standard libraries such as NumPy, Scikit-learn, PyTorch, TensorFlow, Google vertex etc 
  
• Strong knowledge of data science, machine learning, and AI algorithms, tools and frameworks, including deep learning, computer vision, and statistical analysis.
  
• Experience with open source frameworks & auto ML highly preferred.  
  
• Experience in developing and deploying data science pipelines and architectures using modern tools and frameworks such as Spark, Hadoop, Kafka, and Kubernetes
  
• Experience with healthcare data sources such as EHRs and medical images, and familiarity with healthcare standards and protocols such as HL7, FHIR, and DICOM is desirable
  
• Experience with image processing algorithms highly preferred 
  
• Experience with cloud platforms such as AWS, Azure or GCP, and familiarity with containerization and orchestration technologies such as Docker and Kubernetes
  
• Strong communication and collaboration skills, with the ability to work effectively with cross-functional teams and healthcare professionals
  
• ·Strong analytical and problem-solving skills, with the ability to identify and solve complex technical problems in the healthcare domain 
  

• You are a passionate self-learner & love taking on new challenges
  
• You love solving problems & digging for creative solutions if you don’t the answer to a problem
  
• You don’t get flustered easily. You can remain level headed under pressure
  
• You are meticulous & pay attention to details. Nothing falls off your radar. You believe in doing things perfectly, every single time you do them.