As a Machine Learning Engineer at Parvana, you'll work closely with Data Scientists and Software Engineers to create effective ML solutions. Your role will focus on developing and maintaining robust ML pipelines to ensure high performance and reliability.
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 translate complex requirements into scalable machine learning applications. Your work will involve developing end-to-end ML pipelines that include data ingestion, feature engineering, model training, and deployment.
In your day-to-day tasks, you will focus on creating robust and automated systems that can handle large datasets efficiently. Continuous monitoring of model performance, data drift, and latency will be key aspects of your responsibilities. This ensures that the models remain effective and can be improved over time based on real-world performance.
The ideal candidate for this role should have a strong background in statistical modelling and data manipulation, with proficiency in SQL being essential. While a relevant tertiary qualification in fields like Computer Science or Data Science is beneficial, practical experience and a solid understanding of machine learning concepts are equally important. If you enjoy working in a collaborative environment and are passionate about leveraging data to drive business solutions, this role could be a great fit for you.
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