Machine Learning Integrator

6 months ago

Midrand, South Africa Full Circle Resourcing Full time

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**:

- 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 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 mínimal 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

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