Job Description
About the Role
We are seeking a highly skilled Machine Learning Operations Engineer to join our team in Cape Town, South Africa. As a key member of our Data Science and Engineering teams, you will play a crucial role in deploying machine learning models into production environments, building scalable CI/CD pipelines, and implementing monitoring for data drift and model performance degradation.
Key Responsibilities
- Model Deployment & MLOps: Productionising machine learning models developed by Data Scientists
- Building and maintaining CI/CD pipelines for ML workflows
- Creating reproducible environments for model training and inference
- Implementing monitoring for data drift, model drift, and performance degradation
Requirements
- Minimum 3+ years’ experience in Machine Learning Engineering, Data Engineering, or Software Engineering
- Strong Python development skills
- Proven experience deploying machine learning models into production environments
- Experience building CI/CD pipelines
- Experience working with AWS cloud infrastructure
- Strong SQL skills and data pipeline experience
- Experience building APIs or backend services
Qualifications
Relevant degree in Computer Science, Engineering, Data Science, or a related technical field
Salary & Benefits
Salary details not specified.
How to Apply
Click the green “Go Apply” button below to apply directly online with the employer.
About Datacapturing Jobs in Western Cape
In the Western Cape region of South Africa, the data capturing industry is typically thriving, with a high demand for skilled professionals to manage and process large datasets. This trend is often driven by the growth of various sectors such as technology, financial services, and manufacturing, which rely heavily on accurate and efficient data management.
Typically, salaries for data capturing positions in Western Cape fall within broad ranges, often starting at around R400 000 to R600 000 per annum, depending on factors such as experience, company size, and industry sector. However, it is essential to note that actual salaries can vary significantly, and these figures should be used only as a rough guide. Experience, qualifications, and specific job requirements also play a significant role in determining salary ranges.
Common skills required for data capturing roles include proficiency in data management software, analytical skills, attention to detail, organizational abilities, effective communication skills, and a basic understanding of database principles. Additionally, familiarity with industry-specific regulations and standards is often beneficial. Generally, companies look for candidates who possess a combination of technical, business, and interpersonal skills.
Data capturing roles are commonly found in various industries, such as financial services, technology, manufacturing, and healthcare. These sectors require accurate data management to inform decision-making, optimize processes, and improve overall performance. Often, companies seek candidates with experience in managing complex datasets, developing data visualizations, and ensuring data quality and integrity.
In terms of career development, data capturing professionals can expect opportunities for growth and advancement within their current roles or by transitioning into related fields such as data analysis, business intelligence, or project management. Generally, experience, certifications, and continued education can enhance career prospects and salary potential. By acquiring the necessary skills and staying up-to-date with industry trends, individuals in this field can build a rewarding and challenging career.
This information provides general career guidance. Actual salaries and requirements vary by employer.
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