Job Description
About the Role
We are seeking an experienced Senior Software Engineer – Data Science to join our team at Communicate Finance in Cape Town. As a key member of our data science team, you will be responsible for designing and implementing production-grade Machine Learning/Artificial Intelligence (ML/AL) features, training, deploying, and supporting machine learning models in live environments, and engineering scalable services within distributed, microservice-based systems.
Key Responsibilities
- Designing and implementing production-grade ML/AL features
- Training, deploying, and supporting machine learning models in live environments
- Engineering scalable services within distributed, microservice-based systems
- Working with large, complex datasets to extract meaningful insights
- Building systems that process massive, real-time data volumes
Requirements
- Minimum 3+ years of hands-on experience in data science or data-focused software engineering
- Proven experience deploying ML/AI models into production
- Strong programming skills in Python and/or Java
- Solid understanding of software engineering with large datasets
- Comfortable in Unix-based environments (scripting, troubleshooting, networking)
- Experience with CI/CD pipelines for ML workflows
Qualifications
Bachelors Degree in Data Science, Computer Science, Engineering, Applied Mathematics or similar
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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