About the role: We are seeking a highly skilled AI/Machine Learning Engineer to join our Global Transformation Company. As an AI/Machine Learning Engineer, you will be responsible for developing and implementing algorithms and models to improve our healthcare services and patient outcomes. You will work closely with cross-functional teams including physicians, data scientists, and software engineers to identify areas of improvement and develop innovative solutions using artificial intelligence and machine learning techniques.
In this role, you will have the opportunity to make a significant impact on the healthcare industry by leveraging cutting-edge technologies. The ideal candidate is passionate about healthcare and has a strong background in AI and machine learning, with experience in applying these technologies to real-world problems.
Responsibilities:
· Develop and implement machine learning algorithms and models to analyze large volumes of healthcare data.
· Collaborate with cross-functional teams to identify business needs and design appropriate solutions.
· Enhance and optimize existing machine learning models to improve accuracy and efficiency.
· Conduct thorough data analysis and visualization to detect patterns and identify trends.
· Evaluate the performance of developed models and propose necessary improvements.
· Stay updated with the latest trends and advancements in the field of AI and machine learning.
· Collaborate with software engineers to integrate AI models into our healthcare systems.
Qualifications & Experience:
· Bachelor's degree in Computer Science, Data Science, or a related field; Master's or PhD preferred.
· Proven experience in developing and implementing machine learning algorithms and models.
· Strong knowledge of AI and machine learning frameworks and libraries.
· Proficient in programming languages such as Python, R, or Java.
· Experience with big data technologies and distributed computing frameworks, such as Hadoop or Spark.
· Solid understanding of data preprocessing, feature engineering, and data visualization techniques.
· Familiarity with healthcare data standards and privacy regulations (e.g., HIPAA).
· Excellent problem-solving and analytical skills.
· Strong verbal and written communication skills.
· Ability to work effectively in a cross-functional team environment.
· Previous experience in the healthcare industry is a plus.
Skills:
· Outstanding interpersonal and communication skills.
· Strong planning, organization, and time management skills.
· Deep understanding of clinical data validation, reporting, and analysis.
· Demonstrable success in stakeholder interactions, delivering aligned solutions.
· Familiarity with clinical environments and terminology.
· Strong values of integrity, commitment, and self-improvement.
· A methodical, thorough yet flexible approach.
· Process-driven mindset.
