Senior AI/ML Specialist

1 week ago

Cochin, Kerala, India Iware Software Solutions Full time ₹ 15,00,000 - ₹ 30,00,000 per year

Role & responsibilities

  1. Technical Leadership & Strategy:

  2. Lead the end-to-end architecture, design, and development of advanced AI/ML models (e.g., Deep Learning, NLP, Computer Vision, Predictive Analytics) for healthcare applications.

  3. Define the technical vision and roadmap for AI projects, ensuring alignment with business goals and clinical needs.
  4. Provide technical guidance and mentorship to a team of data scientists and machine learning engineers while fostering innovation within the team.

  5. Stay at the forefront of AI research, evaluating and incorporating state-of-the-art techniques into our solutions.

  6. Solution Design & Development:

  7. Architect and build ML pipelines for diverse healthcare data modalities, including Electronic Health Records (EHR), medical imaging (DICOM), genomics, wearables, and clinical notes.

  8. Develop and validate models for applications such as:
  9. Disease prediction and stratification
  10. Medical image analysis and diagnostics
  11. Clinical Natural Language Processing (NLP) for note summarization, phenotyping, and cohort identification.
  12. Drug discovery and biomarker identification
  13. Hospital operations and readmission risk prediction

  14. Ensure models are built with fairness, bias mitigation, and interpretability in mind.

  15. Healthcare Domain Expertise & Compliance:

  16. Apply deep understanding of healthcare data standards (HL7, FHIR, DICOM) and clinical workflows to ensure solutions are practical and effective.

  17. Navigate the complexities of working with Protected Health Information (PHI) and ensure all solutions are designed with data privacy and security as a first principle (HIPAA, GDPR).

  18. Collaborate closely with clinicians, researchers, and regulatory affairs to ensure models are developed with a path towards clinical validation and regulatory approval (e.g., FDA SaMD) ensure real-world validation and compliance.

  19. Execution & Deployment:

  20. Lead the MLOps lifecycle, from experimentation and training to deployment, monitoring, and continuous improvement of models in a production environment.

  21. Partner with software engineering, DevOps, and IT teams to integrate AI models into clinical applications and enterprise systems.
  22. Establish robust model monitoring frameworks to track performance, data drift, and concept drift in live settings.

Preferred candidate profile

  1. Required Qualifications

  2. Education: Master's or Ph.D. in Computer Science, Data Science, Biomedical Informatics, Statistics, or a related quantitative field.

  3. Experience: 7-10 years of proven experience in designing, building, and deploying production-grade AI/ML solutions, with a minimum of 5 years focused specifically within the healthcare or life sciences domain.

  4. Technical Skills:

  5. Proficient in Python, SQL, and frameworks like TensorFlow, PyTorch, Keras, and Scikit-learn.

  6. Strong understanding of healthcare data (EHR, DICOM) and standards (FHIR, HL7).
  7. Hands-on experience with MLOps tools (MLflow, Kubeflow, Airflow) and cloud platforms (AWS, GCP, Azure).
  8. Experience in NLP or Computer Vision applications within healthcare

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