Senior ML Engineer - Remote, FinTech AI & ML Systems

Placements24; Soweto; Hybrid; ZAR 2,030,000 - 3,046,000; Full time

Benefits offered by this job

Stock options

Health insurance

Remote work with flexible scheduling

Learning & development

Job summary

Placements24 is seeking a Senior Machine Learning Engineer to join a fully remote fintech team. Design, build, and deploy ML models and AI pipelines for fraud detection, credit scoring, and customer personalization.

Collaborate with data scientists, software engineers, and product managers to translate complex business challenges into scalable ML solutions. The ideal candidate has 5+ years in ML engineering, deep learning expertise, and strong Python with TensorFlow/PyTorch.

Qualifications

• Advanced degree in CS/AI/ML or related quantitative field.
• Minimum 5 years deploying ML models in production.
• Strong Python and ML libraries proficiency.
• Experience with cloud and containerized environments.

Responsibilities

• Design and deploy scalable ML models and pipelines for financial applications.
• Collaborate with data scientists and engineers to productionize models.
• Build ML infrastructure including data pipelines and feature stores.
• Implement MLOps practices for monitoring and versioning.
• Optimize algorithms for speed, accuracy, and scalability.
• Conduct rigorous experiments and evaluations of ML approaches.
• Stay updated on ML advances and apply to business problems.
• Mentor junior engineers and contribute to team growth.
• Document systems, processes, and experiments thoroughly.

Skills

Python

TensorFlow

PyTorch

Scikit-learn

Cloud platforms

Docker/Kubernetes

Spark

ML deployment

Mentoring

Problem solving

Education

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

Tools

TensorFlow

PyTorch

Scikit-learn

Pandas

Docker

Kubernetes

Spark

Job description

Placements24 is seeking a Senior Machine Learning Engineer to join a fully remote fintech team. Design, build, and deploy ML models and AI pipelines for fraud detection, credit scoring, and customer personalization.

Collaborate with data scientists, software engineers, and product managers to translate complex business challenges into scalable ML solutions. The ideal candidate has 5+ years in ML engineering, deep learning expertise, and strong Python with TensorFlow/PyTorch.