Senior AI/ML Engineer
1 week ago
We are seeking a skilled and motivated AI/ML Engineer with a minimum of 3 years of experience, specifically in the healthcare sector. The ideal candidate will have hands-on experience in developing and deploying machine learning models, working with medical data, and building AI-driven solutions that enhance healthcare services.
Key Responsibilities:
- Design, develop, and implement machine learning models tailored to healthcare applications (e.g., predictive diagnostics, patient risk modeling, clinical decision support).
- Work with large, structured and unstructured healthcare datasets, including EHRs, imaging data, and lab results.
- Collaborate with data scientists, engineers, and healthcare professionals to define AI use cases and deliver solutions.
- Ensure compliance with healthcare data regulations (e.g., HIPAA, GDPR).
- Monitor and optimize model performance and scalability in real-world applications.
- Document processes, experiments, and results in a structured and reproducible manner.
Required Skills and Qualifications:
- Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, or related field.
- Minimum of 2 years of experience in AI/ML, with at least one year in the healthcare sector.
- Strong programming skills in Python and proficiency with ML libraries (e.g., scikit-learn, TensorFlow, PyTorch).
- Experience with healthcare standards and data formats (e.g., HL7, FHIR, DICOM).
- Solid understanding of machine learning algorithms, model training, validation, and deployment.
- Familiarity with cloud platforms (AWS, GCP, or Azure) and ML pipelines.
- Excellent problem-solving and communication skills.
Preferred Qualifications:
- Experience in Natural Language Processing (NLP) applied to clinical notes.
- Knowledge of data privacy, ethics in AI, and bias mitigation in healthcare models.
- Contributions to healthcare AI research or publications.
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