Senior Machine Learning Engineer - AI for Healthcare Diagnostics

Placements24; Durban; Híbrido; ZAR 1 976 000 - 2 964 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Fully remote

Stock options

Health benefits

Resumo da oferta

Placements24 is seeking a Senior Machine Learning Engineer to work remotely on medical imaging and diagnostic models. You will manage the ML lifecycle—from data preprocessing to deployment—contributing to cutting-edge healthcare tech with a global team, including colleagues based in Durban, KwaZulu-Natal.

The role requires a Master’s/PhD in a quantitative field and 5+ years of deep learning experience, with strong Python and cloud ML tooling.

Qualificações

• Master's or PhD in Computer Science, ML, Data Science or related field.
• 5+ years of professional ML engineering experience with deep learning.
• Proficiency in Python and ML libraries such as TensorFlow, PyTorch, scikit-learn.

Responsabilidades

• Design, build, train, and deploy ML models for medical imaging and diagnostics.
• Develop robust data pipelines for large medical datasets.
• Collaborate with data scientists and engineers to define scope and requirements.

Conhecimentos

Python programming

ML model deployment

Deep learning

Data analysis

Remote collaboration

Formação académica

Master's or PhD in CS/ML/DS

Ferramentas

TensorFlow

PyTorch

scikit-learn

AWS/Azure/GCP

Descrição da oferta de emprego

About the Role

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, KwaZulu-Natal** and globally.

Key Responsibilities

• 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.

Requirements

• 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 TensorFlow, 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.

Benefits

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, KwaZulu-Natal**.