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  • Senior Software Engineer - Johannesburg - Khonology (Pty) Ltd

    Khonology (Pty) Ltd
    Khonology (Pty) Ltd Johannesburg

    1 month ago

    Default job background
    Description

    Overview:

    We are looking for an experienced machine learning engineer at Khonology who will be part of a dynamic team responsible for developing cutting-edge AI and ML solutions. As part of the engineering team, you will play a critical role in ensuring the seamless integration, deployment, and maintenance of ML models in scalable, efficient, and reliable software applications hosted on AWS and on-prem.

    Objectives:

    1. Develop and deploy machine learning models.

    2. Enhance existing AI and ML frameworks.

    3. Implement AI-driven solutions for business challenges.

    4. Ensure model accuracy, scalability, and performance.

    5. Facilitate continuous improvement through model monitoring and maintenance.

    Responsibilities:

    • Collaborate with the Data Science team to understand ML models and translate them into production-ready applications.

    • Build and maintain scalable, secure, and high-performing software applications for hosting ML models.

    • Design, implement, and manage CI/CD pipelines to streamline deployment and integration processes.

    • Develop and optimize deployment architectures on AWS, leveraging services such as Amazon SageMaker, Lambda, ECS/EKS, and S3.

    • Ensure robust monitoring, logging, and alerting mechanisms for deployed solutions.

    • Automate operational workflows, including model retraining, validation, and deployment processes.

    • Maintain high software quality through code reviews, rigorous testing, and adherence to best practices.

    • Collaborate with DevOps teams to enhance infrastructure reliability and performance.

    • Explore and integrate solutions utilizing Large Language Models (LLMs) where applicable.

    • Stay up-to-date with advancements in ML technologies and AWS services to drive continuous improvement.

    Requirements:

    Experience:

    • 5+ years in software engineering, with a focus on deploying ML models in production.

    • Strong experience with AWS services, including but not limited to SageMaker, Lambda, ECS/EKS, S3, and CloudWatch.

    • Hands-on experience in setting up and managing CI/CD pipelines using tools like Jenkins, GitHub Actions, or AWS CodePipeline.

    • Proven expertise in containerization and orchestration (Docker, Kubernetes).

    • Strong programming skills in languages such as Python, Java, and Node.js.

    • Experience working in a DevOps-driven environment with automation at its core.

    • Experience with data preprocessing, feature engineering, and model tuning.

    Preferred Qualifications and Skills:

    • Bachelor's degree in Computer Science, Software Engineering, or a related field. Equivalent work experience will also be considered.

    • Experience with big data technologies such as Hadoop, Spark, etc.

    • Knowledge of deep learning techniques and frameworks.

    • Previous experience in deploying AI/ML models in production environments.

    • Contributions to open-source AI/ML projects or research publications.

    • AWS Certified Machine Learning (beneficial).

    • AWS Certified Solutions Architect or AWS Certified Developer (beneficial).

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Senior software engineer