Machine Learning Integrator

2 weeks ago

Midrand, Gauteng, 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, ) 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 preprocessing, 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 nontechnical 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 opensource 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 endtoend 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 crossfunctional 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/cosupervisor for GROUP driven university research topics.
-
Security and Compliance:

  • Implement security best practices and stay

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