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    Machine Learning

    Location:Johannesburg
    Type:Permanent
    Reference:#NG60802
    Company:e-Merge IT Recruitment

    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.

    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.e-merge.co.za for more great positions.

    Do you have a friend who is a developer or technology specialist? We pay cash for successful referrals!

    Posted on 15 Dec 11:33, Closing date 13 Feb

    Apply

    Nokuthula Gumbo
    nokuthulag@e-merge.co.za
    0114633633

    Or apply with your Biz CV

    Create your CV once, and thereafter you can apply to this ad and future job ads easily.
    e-Merge IT Recruitment
    e-Merge is a service orientated, boutique agency working in specific technology verticals. We only recruit within our specialised fields, assuring both client and candidate of expert attention, knowledge and advice.
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