AI Specialist - Healthcare
Information Technology
Dubai, UAE
Onsite
Full-time
Mid Level
3+ Years
Posted May 13, 2026
About the role
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 skills
- 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 details
- Department
- Information Technology
- Location
- Dubai, UAE
- Work setup
- Onsite
- Employment type
- Full-time
- Job level
- Mid Level
- Experience
- 3+ Years
- Industry
- Technology, Information & Media
- Sub-industry
- AI Development
- Compensation
- AED 40K-50K/month + visa and medical
Frequently asked questions
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.