Senior AI/Machine Learning Engineer - Healthcare

Placements24; Sandton; Hybrid; ZAR 2,000,000 - 3,000,000; Full time

Benefits offered by this job

Equity options

Health insurance

Remote work setup with flexible hours

Professional development budget

Challenging, impactful projects

Job summary

Placements24 is seeking a Senior AI/ML Engineer to join a remote R&D team focused on healthcare diagnostics and personalized medicine. You will build and deploy models using large healthcare datasets, collaborating with data scientists and engineers to integrate AI into existing platforms.

The role emphasizes developing robust MLOps, evaluating new ML techniques, and communicating complex results to diverse stakeholders in a remote-first environment.

Qualifications

• Master's or PhD in CS/AI/ML/Statistics.
• Minimum 5 years in AI/ML engineering, with production deployment experience.
• Proficiency in Python and ML frameworks (TensorFlow, PyTorch, scikit-learn).
• Experience with cloud platforms (AWS, Azure, GCP).
• Excellent communication and remote collaboration skills.
• Experience handling large datasets and healthcare data is a plus.

Responsibilities

• Design, develop, train, and deploy ML models for healthcare apps (predictive diagnostics, treatment optimization).
• Analyze large healthcare datasets (EHRs, imaging, genomics).
• Collaborate with data scientists, domain experts, and software engineers to integrate AI solutions into platforms.
• Maintain MLOps pipelines for monitoring, versioning, and production reliability.
• Research and evaluate state-of-the-art AI/ML methods for healthcare challenges.
• Communicate findings effectively to technical and business stakeholders.

Skills

Python

TensorFlow

PyTorch

scikit-learn

Cloud platforms

Remote collaboration

Education

Master's or PhD in CS/AI/ML/Statistics

Tools

AWS

Azure

GCP

Job description

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.