Principal ML Data Engineer

What you will do:  

Rumble is seeking an experienced Principal ML Data Engineer who will be responsible for setting requirements for data collection, preprocessing, analyzing large amounts of data, building / deploying models and algorithms capable of learning and predicting future data points.

In this key role you will be responsible for:

• Analyze large amounts of data to discover trends and patterns to develop a KPI driven solution.
• Identify valuable data sources and set requirements, and assist in the implementation.
• Undertake and execute preprocessing of structured and unstructured data.
• Build / deploy predictive models and machine-learning algorithms from the ground up.
• Propose solutions and strategies to business challenges and KPIs.
• Collaborate with engineering and product development teams.
• Training and retraining ML systems and models as needed.
• Assist in the management and running of ML specific servers / infrastructure / VMs.
• Other duties, as assigned.

Required Qualifications:

• 10+ years building and optimizing large-scale data pipelines, enabling machine learning workflows, and driving data infrastructure strategies across complex, high-volume environments
• 5+ years of combined expert level experience using one or more of the following languages Python, Java, or C++
• 3+ years working with, running and performing administrative tasks on linux based operating systems
• 2+ years of experience of building machine learning models for business application and KPIs
• Algorithm and model development and execution experience for large-scale applications
• Extensive knowledge and practical experience in deep neural networks and other recommendation systems, including convolutional neural networks (CNNs), recurrent neural networks (RNNs), large language models and collaborative filtering techniques.
• Experienced in MLOps to design, implement, and manage scalable pipelines for model deployment, monitoring, and continuous improvement in production environments.
• Strong fundamentals in problem solving, algorithm design and complexity analysis.
• Superior verbal and written communication and presentation skills, ability to convey rigorous mathematical concepts and considerations to non-experts.

Preferred Qualification:

• Experience contributing, working with, or maintaining open-source projects.
• Experience working with any or all of the following: SQL, ClickHouse, Kafka and Redis

Desired Qualification:

• Significant peer reviewed scientific contributions in premier journals and conferences are a plus.
• Understanding of network concepts
• Working experience with online video, and ad technologies