Machine Learning Engineer

Overview:

For our client, a Health Care provider, with a Global presence, we're actively seeking a Senior ML Engineer. The ideal candidate would be willing to work 3 Days onsite though some flexibility is allowed.

You will be joining and machine learning team to build impactful, regulatory-compliant ML solutions that power next-generation medical imaging, patient monitoring systems, and hospital workflow optimization. Work with real clinical data and help shape the future of intelligent healthcare delivery.

Key Responsibilities:

• Develop and deploy machine learning models for medical imaging
• Build predictive algorithms for early detection of critical conditions and treatment optimization.
• Apply deep learning techniques to analyse clinical data, radiology reports, and electronic health records.
• Optimize models for deployment on edge devices and cloud platforms.

Basic Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Biomedical Engineering, or related field.
• 4+ years of experience in applied machine learning or deep learning.
• Proficiency in Python and ML frameworks (e.g., TensorFlow, PyTorch).
• Familiarity with cloud services (AWS, Azure) and containerization (Docker, Kubernetes).

Benefits:

• Lucrative compensation package, including competitive base salary, performance bonuses, and stock options.
• Comprehensive health, dental, and vision insurance.
• Generous paid time off and parental leave.
• Flexible work arrangements, including remote and hybrid options.
• A chance to make a real-world impact in a mission-driven, global healthcare technology company.