Job Description

Machine Learning Integrator (Entry) - Gauteng/Hybrid - ISB2301581

About the job Machine Learning Integrator (Entry) - Gauteng/Hybrid - ISB2301581

Our client requires the services of a Machine Learning Integrator (Entry) - Midrand/Menlyn/Rosslyn/Home Office rotation

• Amazing brand with cutting edge technology
• Excellent teams in Global team collaboration
• High work-life balance with Flexible hours
• Agile working environment

POSITION: Contract until December 2026

EXPERIENCE: 2-4 Years related working experience.

COMMENCEMENT: As soon as possible

QUALIFICATIONS/EXPERIENCE

• South African citizens/residents are preferred.
• Master's or Ph.D. in Computer Science, Data Science, Statistics, Mathematics, or a related technical field.
• 5 8 years in data science or machine learning engineering.
• Demonstrated ability to architect and execute data science projects from problem definition through deployment and operation.
• Experience working in interdisciplinary teams and collaborating with business stakeholders.

ESSENTIAL SKILLS:

• Necessary Skills:
• Proficiency in popular machine learning programming languages such as Python and R.
• Experience with machine learning frameworks (e.g., TensorFlow, PyTorch, Keras, Sci-Kit Learn, Apache MXNet, H2O.ai) and machine learning concepts like deep learning, reinforcement learning, natural language processing and multivariate analysis etc.
• Understanding of and ability to design algorithms.
• Proficiency in statistical analysis.
• Experience with ETL, ML data pre-processing, engineering and visualisation workloads.
• Understanding of and experience with generative AI and prompt engineering.
• Proficiency in Git.
• Containerization, Linux / Unix knowledge.
• Proficiency in cloud services like AWS or Azure.
• Proficiency in Infrastructure as Code (IaC) tools like Terraform.
• MLOps experience.
• DevOps experience.
• Strong communication skills to effectively translate technical concepts to non-technical stakeholders.
• Strong problem solving skills.

ADVANTAGEOUS TECHNICAL SKILLS

• Experience with distributed computing systems (e.g., Hadoop, Spark, AWS Batch).
• Publications in relevant academic journals.
• Contributions to open-source machine learning/data science projects.
• Leadership experience with the ability to mentor junior staff / students and lead projects.
• Ability to architect ML solutions.
• Creating CICD pipelines, for example using GitHub actions.
• Basic frontend development experience.
• Agile working model experience.

ROLE:

• Machine Learning Development:
• Develop / refine machine learning models and data processing solutions.
• Keep abreast of the latest industry trends in machine learning and data science, evaluating and adopting new technologies where appropriate.
• Backend Development and Cloud Integration:
• Optimize application performance and cost-effectiveness through cloud resource management and monitoring.
• Design, develop, and maintain cloud infrastructure with which to deploy, operate and monitor machine learning based applications.
• Design scalable and serverless cloud solutions for machine learning based applications.
• Design, develop, and maintain server-side logic and APIs according to best practices and OpenAPI specifications.
• Work with SQL and NoSQL databases to efficiently manage data storage and retrieval.
• Implement / maintain authentication and authorization mechanisms.
• Implement / maintain orchestration services to create and manage multi-step application workflows.
• Implement / maintain secure cloud networking configurations.
• Implement / maintain cloud cost tracking mechanisms.
• Continuous Integration and Deployment (CI/CD):
• Set up, configure, and maintain CI / CD pipelines, for example using GitHub Actions.
• Monitor and troubleshoot deployment issues, ensuring minimal downtime.
• Version Control:
• Manage and collaborate on code repositories, for example using GitHub.
• Enforce version control best practices, branching and release strategies within the development team.
• Resolve merge conflicts and maintain a clean commit history.
• Perform code reviews and provide constructive feedback to team members in structured code review sessions.
• Ensure adequate protection measures are implemented for junior resources.
• Testing and Quality Assurance:
• Develop and execute unit tests, integration tests, and end-to-end tests to maintain code quality.
• Develop sandbox environments for secure exploration and testing.
• Documentation:
• Create and maintain documentation, including system architecture diagrams, feature documentation, release notes, deployment plans, operation and user manuals.
• Ensure knowledge sharing within the team by documenting best practices and guidelines.
• Collaboration and Communication:
• Collaborate effectively with cross-functional teams, including data scientists, software engineers, cloud architects, security specialists and business users.
• Communicate project status, challenges, and progress to stakeholders.
• Take ownership in creating and updating work assigned items in a timely and professional manner.
• Take part in agile ceremonies, for example dailys, planning sessions and retrospectives.
• Mentoring and Leadership:
• Mentor junior developers and assist in their skill development.
• Act as an industry mentor/co-supervisor for GROUP driven university research topics.
• Security and Compliance:
• Implement security best practices and stay informed about security vulnerabilities according to GROUP requirements.
• Proactively monitor software for defects and bugs.
• Utilise Static / Interactive Application Security Testing.
• Performance Optimization:
• Monitor application performance and identify bottlenecks.
• Optimize code and infrastructure for speed and efficiency.
• Scalability and Reliability:
• Design and implement scalable and reliable software architectures.
• Implement redundancy and failover mechanisms for critical components.
• Operations
• Participate in product operations.

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Also note, that if you have not received a response from us within 2 weeks, your application was unsuccessful.

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