Machine Learning

A specialised AI consulting firm is seeking a Machine Learning Engineer to join our team. This role offers the opportunity to work on high-impact AI initiatives within the banking sector, where you will play a key part in designing, deploying, and scaling advanced machine learning solutions. You’ll collaborate with data scientists, engineers, and business stakeholders to deliver end-to-end AI systems that enhance decision-making, improve customer experiences, and optimise critical processes. Beyond building models, you’ll be responsible for ensuring their performance, reliability, and scalability in production—using modern cloud platforms and MLOps practices.

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 az.oc.egreM-e@galuhtukon or call her for a chat on 011 463 3633 to discuss this and other opportunities.

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Posted on 18 Sep 18:46, Closing date 17 Nov