MACHINE LEARNING ENGINEER

Boost IT is made up of people who are motivated to improve the world and who are passionate about technology.
Our vision focuses on the skill to bring people together around complex problem solving for our clients creating sophisticated solutions.
People are our most important asset and the reason for our business.
We are proud of our strong culture that challenges the status quo and always searches for the best solution for our clients.
We believe technology can lead to a positive change in society connect and inspire and ultimately lead to a better future.
Tasks Develop AI/ML software products including but not limited to explore large data set try out new algorithms feature engineering test and evaluate model output deploy the solution for production usageandscale out to the comprehensive network.
Design develop and maintain the largescale data infrastructure required for the AI/ML projects.
Leverage on understanding of software architecture and software design patterns to write scalable maintainable welldesigned and futureproof code.
Develop solutions components services and frameworks to address common needs in AI/ML projects like feature reuse model traceability A/B test etc.
Work in crossfunctional agile team of highly skilled engineers data scientists business stakeholders to build the AI ecosystem within the brand.
Requirements Have a BSc or MSc degree in computer science engineering or related field or equivalent practical experience.
Have 4 years professional experience working in relevant role(s) for a Machine Learning Engineer.
A handson person who loves coding and like applying software engineering practices to machine learning projects.
Have experience in developing software products that have been successfully deployed to production.
Have several years of coding experience in modern programming languages and strong background in Python programming i.
.
3 years.
Have great experience with cloud technologies for ML development preferably Google Cloud and also Vertex AI.
Have solid experience in MLOps practices developing ML pipelines and deploying ML applications to production.
Have a strong working knowledge of a variety of AI/ML techniques and experience working with different frameworks.
Have experience handling high volume heterogeneous data (both batch and stream) and a solid understanding of data structures databases and data storage technologies.
Familiar with agile ways of working team collaboration datadriven development reliable and responsible experimentation.