Senior AI/ML Engineer – Healthcare AI

Job Summary

We are seeking a highly skilled and innovative Senior AI/ML Engineer specializing in Healthcare AI to join our dynamic team. In this role, you will lead the development and deployment of cutting-edge artificial intelligence and machine learning solutions tailored for healthcare applications. Your expertise will drive advancements in predictive modeling, natural language processing, and data analytics to improve patient outcomes, optimize clinical workflows, and support research initiatives. This position offers an exciting opportunity to influence the future of healthcare technology through scalable AI models and big data systems.

Duties

• Design, develop, and implement advanced AI and machine learning models utilizing frameworks such as TensorFlow, Spark MLlib, and other machine learning tools to solve complex healthcare challenges.
• Lead model training, evaluation, and deployment processes on cloud platforms like AWS, ensuring scalability and robustness for real-world applications.
• Develop statistical models and perform statistical analysis for research purposes to extract meaningful insights from large datasets.
• Architect and optimize big data systems using Hadoop, Spark, ETL processes, SQL databases, and data mining techniques to handle vast amounts of healthcare data efficiently.
• Collaborate with cross-functional teams to integrate AI solutions into existing healthcare platforms, ensuring seamless deployment and operational stability.
• Utilize natural language processing (NLP) techniques to analyze unstructured clinical notes, medical records, and other textual data sources.
• Conduct statistical analysis and predictive modeling analysis to support clinical decision-making and research initiatives.
• Implement generative AI techniques for applications such as medical image synthesis or patient data augmentation while ensuring compliance with healthcare regulations.
• Ensure model scalability, performance optimization, and continuous improvement through rigorous model evaluation and validation processes.

Requirements

• Extensive experience with machine learning frameworks such as TensorFlow, PyTorch, or similar tools.
• Proven expertise in cloud-based AI/ML services on AWS or comparable platforms.
• Strong programming skills in Python, Java, C, Bash (Unix shell), and experience with SQL databases.
• Deep understanding of big data systems including Hadoop, Spark (including Spark implementation), Talend, and Looker for analytics visualization.
• Hands-on experience with statistical modeling tools like R or SAS for research-focused analysis.
• Knowledge of natural language processing (NLP), generative AI techniques, and predictive modeling analysis within healthcare contexts.
• Familiarity with data integration tools such as ETL pipelines for data mining and database design.
• Experience with model deployment strategies ensuring scalability across large datasets in cloud environments.
• Strong analytical skills combined with the ability to translate complex data into actionable insights for healthcare applications.
• Excellent collaboration skills to work effectively across multidisciplinary teams including clinicians, researchers, and data scientists.

Join us in transforming healthcare through innovative AI solutions! We are committed to fostering a diverse environment where talented professionals can thrive while making a meaningful impact on patient care worldwide.

Pay: $160,000.00 - $210,000.00 per year

Benefits:

• 401(k)
• Flexible schedule
• Paid time off

Work Location: Remote