Senior AI/Machine Learning Engineer - Healthcare

Placements24; Sandton; Híbrido; ZAR 2 470 000 - 3 129 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Highly competitive equity options

Comprehensive health, dental, and vis­

Fully remote with flexible hours

Budget for professional development

Resumo da oferta

Placements24 is seeking a Senior AI/Machine Learning Engineer to join a visionary R&D team, working remotely to advance healthcare diagnostics and personalized medicine.

You will design, train, and deploy production-grade models on large healthcare datasets to improve clinical decisions and patient outcomes, while collaborating across data scientists, clinicians, and engineers.

Qualificações

• 5+ years of professional AI/ML engineering experience.
• Production-grade model deployment and maintenance.
• Experience with healthcare data (EHRs, imaging, genomics) is preferred.

Responsabilidades

• Design, train, and deploy ML models for healthcare applications.
• Process large healthcare datasets and integrate AI into platforms.
• Build and maintain robust MLOps pipelines for production.
• Collaborate with data scientists, clinicians, and engineers.

Conhecimentos

ML engineering

Python

TensorFlow/PyTorch

MLOps

Remote collaboration

Formação académica

Master's/PhD in CS/AI

Ferramentas

Cloud platforms (AWS/Azure/GCP)

TensorFlow

PyTorch

scikit-learn

Descrição da oferta de emprego

About the Role

Our client is seeking a visionary Senior AI/Machine Learning Engineer to join their cutting-edge R&D team, operating in a fully remote capacity. This role is pivotal in developing and deploying advanced AI models to revolutionize healthcare diagnostics and treatment pathways. You will be instrumental in leveraging vast healthcare datasets to build predictive models, enhance clinical decision-making, and drive innovation in personalized medicine. This is an unparalleled opportunity to work on impactful projects from anywhere, contributing to the future of health technology and operating within a culture that champions remote collaboration and innovation.

Key Responsibilities

• Design, develop, train, and deploy sophisticated machine learning models for healthcare applications, such as predictive diagnostics, treatment optimization, and drug discovery.
• Process and analyze large, complex healthcare datasets, including electronic health records (EHRs), imaging data, and genomic information.
• Collaborate with data scientists, domain experts, and software engineers to integrate AI solutions into existing healthcare platforms and workflows.
• Implement and maintain robust MLOps pipelines for model monitoring, versioning, and continuous improvement in production environments.
• Research and evaluate state-of-the-art AI/ML algorithms and techniques relevant to healthcare challenges.
• Communicate technical concepts and findings effectively to diverse audiences, including technical teams and business stakeholders.

Requirements

• Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, Statistics, or a related quantitative field.
• Minimum of 5 years of professional experience in AI/ML engineering, with a strong focus on developing and deploying models in production.
• Proficiency in programming languages like Python and experience with ML frameworks such as TensorFlow, PyTorch, or scikit-learn.
• Solid understanding of various ML algorithms, deep learning architectures, and statistical modeling techniques.
• Experience working with large datasets and cloud platforms (AWS, Azure, GCP) is highly desirable.
• Excellent communication and collaboration skills, with proven ability to excel in a remote-first work environment.

Benefits

• Highly competitive salary and significant equity options.
• Comprehensive health, dental, and vision insurance for employees and dependents.
• Flexible work hours and a fully remote work setup, allowing for excellent work-life balance.
• Generous budget for professional development, including online courses, conferences, and certifications.
• Opportunity to work on challenging and impactful projects that are shaping the future of healthcare.