As a Machine Learning Engineer at Parvana, you'll work closely with Data Scientists and Software Engineers to create effective ML solutions. This role is ideal for someone who enjoys building and improving ML pipelines and has a strong foundation in data handling.
At Parvana, the Machine Learning Engineer plays a crucial role in bridging the gap between business needs and technical solutions. You will collaborate with Data Scientists and Software Engineers to transform complex business requirements into scalable machine learning applications. Your work will involve leading the development of automated ML pipelines, ensuring that data flows seamlessly from ingestion to deployment.
In this position, you will be responsible for implementing continuous monitoring strategies to track the performance of your models. This includes keeping an eye on data drift and latency, allowing you to make iterative improvements after deployment. Your expertise in statistical modelling and data manipulation will be essential as you work with large datasets and develop robust features for your models.
The ideal candidate for this role should have a relevant tertiary qualification in fields such as Computer Science, Data Science, or Machine Learning. A solid understanding of SQL and experience in feature engineering are crucial for success. If you enjoy working in a collaborative environment and are passionate about leveraging data to drive business outcomes, this role could be a great fit for you.
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