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 building and maintaining robust ML pipelines that enhance business processes.
At Parvana, the Machine Learning Engineer plays a crucial role in bridging the gap between data science and software engineering. You will partner with Data Scientists and Software Engineers to translate business needs into technical solutions, ensuring that the ML models developed are both effective and scalable. Your day-to-day tasks will involve leading the development of end-to-end machine learning pipelines, which include data ingestion, feature engineering, model training, and deployment.
In this role, you will also implement continuous monitoring strategies to track the performance of deployed models. This includes monitoring for data drift and latency, allowing you to make iterative improvements based on real-world performance. A solid understanding of statistical modelling and data manipulation is essential, as you will be working with complex datasets and ensuring that the models are built on robust features.
The ideal candidate for this position should have a relevant tertiary qualification in fields such as Computer Science, Data Science, or Machine Learning. You should possess strong SQL skills and be comfortable working with various data manipulation techniques. While experience with ML pipelines and performance monitoring is beneficial, a willingness to learn and adapt is equally important.
Overall, this role suits individuals who are passionate about machine learning and eager to work in a collaborative environment that values innovation and continuous improvement.
You'll be taken to the original listing on PNet to apply.