environment:
A dynamic provider of cutting-edge, data-driven cloud solutions is looking for Junior Senior Machine Learning Engineers with strong critical thinking skills. Join the Machine Learning AI team and work with clients on projects focused on delivering reliable, data-driven software applications to production. The primary focus of this role includes data pipeline design and implementation, model building (machine learning or not), and model deployment. The ideal candidate is someone who enjoys taking on new challenges and is flexible enough to go beyond their obligations. Bachelor’s degree in Computer Science/Engineering/Software Engineering or similar field, 2+ years of data science/data engineering work experience, proficient in Python, Spark, PySpark, SQL, Java, Go, You should be familiar with the MLOps principal. Build a training and inference pipeline for your ML project.
Obligation:
- Implement and test data engineering and machine learning software.
- Build and test data engineering and machine learning pipelines for data analytics or machine learning solutions.
- Collaborate and share technical knowledge with team members and colleagues.
- Follow all best practices and procedures established by the client or industry.
- Document the designed solution and implemented tools.
- Brainstorm new solutions to improve data and ML software development and deployment.
- Help your team set up CI (continuous integration) and CD (continuous delivery) tools.
- Monitor data/model metrics and develop ways to improve application development and deployment.
- Maintain day-to-day control and control of your project.
Requirements:
Eligibility –
- Bachelor’s degree in computer science, engineering, software engineering, applied mathematics, statistics, or related field.
Experience/Skills –
- 2+ years of experience in data science and data engineering.
- Fluent in the following languages: Python, Spark, PySpark, SQL.
- Software development experience (Java, Go, etc.).
- Familiarity with building training and inference pipelines for ML projects.
- Familiarity with basic machine learning theory and model building, tuning, and selection.
- Familiarity with MLOps principals.
- Experience with at least one cloud provider.
- Experience with test automation and tools.
- A basic understanding of the cloud-native ecosystem and a willingness to learn and grow in this environment.
Advantage –
- Contribute to or have a passion for open source projects.
- Startup/side project/product experience.
- MSc or PhD in Data Science, Machine Learning, or AI.
- AWS certified (or other cloud).
- I want to know more about Cloud Native Computing Foundation technology.
attribute:
- Up-to-date information on the latest industry trends. You can articulate trends clearly and confidently.
- Communicate with other team members through code and design documents.
- Excellent interpersonal skills and communication with management at all levels.
- Able to multitask, prioritize and manage time effectively.
- Curious and eager to learn about new technologies.
- Strong analytical skills and passion for solving data problems.
- Good communication skills and the ability to confidently present your ideas to technical and business stakeholders.
We aim to respond to all applications, but if we do not hear from you about this position within 10 business days, please consider your application disapproved.
comment:
When applying for a job, make sure you have the minimum job requirements. that’s allSA citizens are considered for this role.If you are not at your listed work location, please include a relocation plan on all work and correspondence applications. [URL Removed] Or email a Word copy of your resume. [Email Address Removed] Include the job reference number.
Desired Skills:
Learn more/Apply for this position
