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 involve building and maintaining ML pipelines that are both scalable and robust.
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 business requirements into actionable ML strategies. This position is ideal for someone who enjoys working in a dynamic environment and is passionate about leveraging data to drive business outcomes.
Your daily responsibilities will include leading the development of scalable and automated ML pipelines. This involves everything from data ingestion and feature engineering to training and deploying models. You will also be responsible for implementing continuous monitoring strategies to ensure the performance of the models, track data drift, and manage latency. This iterative approach allows for ongoing improvements and ensures that the solutions remain effective over time.
To succeed in this role, a solid understanding of statistical modelling, feature engineering, and data manipulation is essential. Proficiency in SQL is a must, as you will be working with large datasets. While a relevant tertiary qualification in fields like Computer Science or Data Science is beneficial, practical experience and a strong problem-solving mindset are equally important. If you thrive in a collaborative and innovative environment, this role could be a great fit for you.
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