Lead Machine Learning Engineer
OpenTeamsFull Time
Senior (5 to 8 years)
The ideal candidate is a polyglot programmer with expertise in Python and an enthusiasm for learning new languages like Kotlin and Rust. Strong communication skills are essential for conveying complex technical concepts to diverse audiences. Candidates should be proactive in suggesting innovative tools and improvements, collaborative, and comfortable mentoring junior engineers. A proven ability to resolve complex technical challenges is also required.
The Senior Machine Learning Engineer will develop and evolve the data and ML platform infrastructure, balancing maintenance with greenfield projects. Responsibilities include developing and maintaining real-time model serving infrastructure using technologies such as Kafka, Python, Docker, Apache Flink, Airflow, and Databricks. The role also involves assisting in model development and debugging with tools like PyTorch, Scikit-learn, MLFlow, and Pandas, understanding the data ecosystem to build scalable ML systems, and contributing ideas within an agile environment.
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