Senior Machine Learning Engineer - AI Healthcare Diagnostics

Our client, a fast-growing AI startup dedicated to transforming healthcare diagnostics, is looking for an experienced Senior Machine Learning Engineer to join their innovative team remotely. This role is central to developing and deploying cutting‑edge machine learning models that analyze medical imaging and patient data to improve diagnostic accuracy and efficiency. You will play a key part in the entire ML lifecycle, from data preprocessing and model training to deployment and monitoring, working with a highly skilled team of engineers and medical professionals.

The position offers the unique advantage of working from anywhere, contributing to significant advancements in medical technology from the comfort of your home, while collaborating with colleagues based in
** Durban, Kwa Zulu-Natal
** and globally.

• Design, build, train, and deploy machine learning models for medical image analysis and diagnostic prediction.
• Develop and maintain robust data pipelines for ingesting, cleaning, and transforming large-scale medical datasets.
• Implement and optimize deep learning architectures (e.g., CNNs, RNNs) for various diagnostic tasks.
• Collaborate with data scientists, software engineers, and domain experts to define project scope and technical requirements.
• Evaluate model performance, identify areas for improvement, and iterate on model designs.
• Deploy ML models into production environments, ensuring scalability, reliability, and efficiency.
• Monitor deployed models, retrain as necessary, and implement A/B testing strategies.
• Stay abreast of the latest research and advancements in machine learning, deep learning, and medical AI.
• Contribute to the documentation of ML models, pipelines, and experimental results.
• Participate in code reviews and contribute to best practices in software engineering and ML development.

• Master's or PhD degree in Computer Science, Machine Learning, Data Science, or a related quantitative field.
• Minimum of 5 years of professional experience in machine learning engineering, with a focus on deep learning.
• Strong programming skills in Python, along with expertise in ML libraries such as Tensor Flow, PyTorch, scikit-learn.
• Experience with medical imaging modalities (e.g., X-ray, CT, MRI) and related analysis techniques is highly desirable.
• Proven experience in deploying machine learning models to production environments.
• Solid understanding of data structures, algorithms, and software engineering best practices.
• Excellent problem-solving and analytical skills, with the ability to tackle complex challenges.
• Strong communication and collaboration skills, with the ability to work effectively in a remote team environment.
• Experience with cloud platforms (AWS, Azure, GCP) and MLOps tools is a plus.
• Familiarity with medical data standards (e.g., DICOM) is an advantage.

Our client offers a highly competitive salary, stock options, and comprehensive health benefits. You'll have the flexibility of a fully remote role, coupled with opportunities for significant professional growth and impact. We foster a collaborative and innovative culture where your contributions are valued and directly influence the development of life‑saving technologies. Join our mission to revolutionize healthcare diagnostics from wherever you are, while being part of a team with roots in
** Durban, Kwa Zulu-Natal**.