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AI Specialist - Healthcare

Description

We are seeking a highly motivated and innovative AI Specialist to join our pioneering healthcare technology team. This role is pivotal in developing and deploying cutting-edge artificial intelligence and machine learning solutions that directly impact patient outcomes and clinical efficiency. You will be responsible for the end-to-end lifecycle of clinical AI models, from conceptualization and data analysis of complex healthcare datasets to model validation and integration into clinical workflows. Collaborating closely with clinicians, data scientists, and engineers, you will tackle some of the most challenging problems in medicine, such as predictive diagnostics and personalized treatment planning. Your work will ensure our solutions adhere to the highest ethical and regulatory standards, including HIPAA and FDA guidelines. If you are passionate about leveraging AI to revolutionize healthcare and improve lives, this is the opportunity for you. Join us in shaping the future of medicine.

Requirements

  • Proven experience in developing and validating machine learning models using Python and common libraries (e.g., Scikit-learn, Pandas, NumPy).
  • Hands-on expertise with deep learning frameworks such as TensorFlow or PyTorch.
  • Demonstrated experience working with diverse healthcare data modalities, including Electronic Health Records (EHR), medical imaging (DICOM, NIfTI), and/or genomic data.
  • Strong understanding of statistical analysis, predictive modeling, and machine learning algorithms.
  • Knowledge of healthcare data privacy and security regulations, particularly HIPAA.
  • Familiarity with tools and libraries for medical data analysis (e.g., MONAI, SimpleITK, GATK).
  • Experience with the full ML lifecycle, from data preprocessing and feature engineering to model deployment and monitoring.
  • Bachelor's or Master's degree in Computer Science, Data Science, Biomedical Engineering, or a related field.

Desirable

  • PhD in a relevant field with a focus on machine learning in healthcare.
  • Record of peer-reviewed publications or presentations at relevant scientific conferences (e.g., NeurIPS, ICML, RSNA, AMIA).
  • Experience with MLOps and deploying models in a cloud environment (AWS, GCP, Azure).
  • Experience with clinical validation processes and collaborating with clinical teams for model integration.
  • Familiarity with regulatory pathways for AI/ML-based Software as a Medical Device (SaMD).
Role Highlights
💰 Compensation
AED 40K-50K/month + visa and medical
📍 Location
Dubai, UAE
💼 Work Location Type
Onsite
📄 Employment Type
Full-time
📈 Job Level
Mid Level
⌛ Experience
3+ Years
🏢 Department
Information Technology
🏭 Industry
Technology, Information & Media
🔹 Sub-Industry
AI Development
Getting StartedA few quick details so we know how to reach you
How did you hear about us? *
Which country's passport do you hold? *
Email *(Please ensure the email matches the one mentioned in your CV or resume)
LinkedIn Profile URL *
Please provide your current and expected salary in the box below (with currency): *
Please mention your notice period *
Let’s Get to Know You BetterA few short questions to understand your experience and what you enjoy doing
1. Do you have professional experience working with Electronic Health Records (EHR) or medical imaging (DICOM) data? *
2. Have you developed and validated a machine learning model for a clinical application from start to finish? *
3. Are you familiar with the principles and requirements of HIPAA as they apply to AI development? *
4. Have you been involved in the process of validating an AI model within a clinical setting? *
5. Do you have hands-on experience using TensorFlow or PyTorch for a project involving medical data? *
6. Have you co-authored any peer-reviewed publications or presented your work at a scientific conference? *
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Frequently Asked Questions (FAQs)Have a question? Check here for quick answers

This confidential recruitment process is being managed by byteSpark.ai on behalf of a healthcare technology client. byteSpark.ai is not the employer for this position. The client’s identity and further organisational details will be shared with shortlisted candidates at the appropriate stage.

This is an opportunity to build AI that can influence real patient outcomes and clinical decisions. The successful candidate will work on challenges such as predictive diagnostics, patient risk stratification, personalised treatment planning, and improving the efficiency of clinical workflows.

The strongest candidates will have hands-on experience developing and validating machine learning or deep learning models using Python, TensorFlow, or PyTorch. Direct exposure to healthcare data such as Electronic Health Records, medical imaging, or genomic information is particularly valuable.

No. This role spans the full machine learning lifecycle, from healthcare data preparation and model development to clinical validation, deployment, monitoring, and integration into real clinical workflows. Candidates must be able to collaborate effectively with clinicians, data scientists, and engineers.

We do not send automatic email confirmations after every application. The review process usually takes two to three weeks, depending on the client’s priorities, role urgency, and the volume of relevant applications received.