Adelsen is excited to offer an exceptional career opportunity for a talented AI Engineer in the dynamic Healthcare sector. Our client, a leading Toronto-based healthcare technology company, is at the forefront of integrating artificial intelligence into medical diagnostics and patient care. This role offers the unique opportunity to contribute to life-saving technologies and improve healthcare outcomes using cutting-edge AI solutions.

Key Responsibilities:

• Develop and implement advanced AI algorithms for medical image processing, diagnostic assistance, and predictive analytics.
• Collaborate with healthcare professionals to understand clinical requirements and integrate AI solutions into existing healthcare systems.
• Conduct research on current trends in AI and machine learning, particularly focusing on applications in healthcare.
• Ensure the reliability and security of AI systems, adhering to regulatory standards and ethical considerations specific to healthcare technology.
• Participate in the full lifecycle of AI solution development, from ideation to deployment and maintenance.
• Work closely with cross-functional teams, including software developers, data scientists, and project managers, to deliver integrated AI solutions.

Benefits:

• Competitive salary and comprehensive benefits package, including health, dental, and vision insurance.
• Opportunity to work on groundbreaking projects that have a real impact on patient care and outcomes.
• Access to cutting-edge technology and resources.
• Collaborative and innovative work environment.
• Professional development opportunities, including conferences, workshops, and training sessions.
• Flexible work arrangements to support work-life balance.

Qualifications:

• Master’s or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
• Minimum of 3 years of experience in AI or machine learning, preferably in the healthcare sector.
• Proficient in programming languages such as Python, R, or Java.
• Experience with machine learning frameworks (e.g., TensorFlow, PyTorch) and cloud services (e.g., AWS, Azure).
• Strong understanding of data structures, algorithms, and software engineering principles.
• Excellent problem-solving, analytical, and communication skills.
• Experience with medical data processing and understanding of healthcare IT standards (e.g., HIPAA, HL7) is highly desirable.