Job Description

Machine Learning Integrator Data Consultant - IT
Menlyn - Gauteng - South Africa, Midrand - Gauteng - South Africa

Calling all Machine Learning Integrators! Do you have a passion for innovation and cutting-edge technology? Do you want to work for a Titan in the automotive industry? Get an international trip and a fantastic hybrid position based in Menlyn/ Midrand

Requirements:

• 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.
• 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 visualization 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 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 front-end development experience.
• Agile working model experience.

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