Job Description
Responsibilities:
- Design, build, and optimise machine learning models for banking applications.
- Implement scalable ML pipelines and integrate them into production environments.
- Collaborate with data scientists, data engineers, and business stakeholders to deliver end-to-end AI solutions.
- Deploy, monitor, and maintain ML models in AWS environments.
- Ensure model reliability, reproducibility, and performance throughout the lifecycle.
- Document methodologies, workflows, and best practices.
Qualifications and Experience:
- 3-5 years of experience in machine learning, data science, or related field.
- Strong proficiency in Python and ML frameworks (TensorFlow, PyTorch, Scikit-learn).
- Experience with large datasets and SQL/NoSQL databases.
- Essential: Hands-on experience with AWS cloud services (SageMaker, S3, Lambda, EC2, Glue, Redshift).
- Familiarity with MLOps practices and CI/CD for ML pipelines.
- Strong problem-solving ability with a track record of translating business needs into technical solutions.
- Experience in banking or financial services is advantageous, but not required.
- Proven experience taking AI models into production at scale.
- Exposure to containerisation (Docker, Kubernetes).
- Familiarity with ML model monitoring and observability tools.
The Reference Number for this position is NG60802 which is a contract position in Johannesburg/Cape Town offering a contract rate of R550 to R750 per hour, salary negotiable based on experience. E-mail Nokuthula on *****@*****.co.za or call her for a chat on (***)***-**** to discuss this and other opportunities.
Are you ready for a change of scenery? e-Merge IT recruitment is a niche recruitment agency. We offer our candidates options so that we can successfully place the right people with the right companies, in the right roles. Check out the e-Merge IT website www.********.co.za for more great positions.
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