Senior Machine Learning Scientist

Responsibilities

• Developing innovative machine learning models for network optimization, prediction, and troubleshooting. 
• Applying expertise in Graph ML, Classic ML (regression/classification), Deep Learning, Causality, and Optimization techniques. 
• Develop and utilize mathematical models to solve complex network problems. 
• Conducting research to develop models and validate their feasibility, performance, and relevance. 
• Ensuring interpretability and usability of the models for network optimization and troubleshooting. 
• Transform validated models into modular features, ensuring they meet the set engineering criteria 
• Participating in the iterative process of model development, including framing problems, developing hypotheses, designing and conducting experiments, and synthesizing findings. 
• Develop and execute automated tests to ensure the quality, functionality, and compatibility of new features. 
• Work closely with the Engineering Team to address any issues or concerns during the integration process. 
• Communicating the progress, challenges, and needs during the model development process to the Engineering Program Manager. 

Qualifications:

• PhD or Master's degree in Computer Science, Data Science, Artificial Intelligence, or a related field. 
• 5+ years of proven experience as a Data Scientist, Machine Learning Developer or similar role. At least 2 years of experience building ML Systems. 
• Solid understanding of machine learning principles, algorithms, and applications. 
• Expertise in Graph ML, Classic ML (regression/classification), Deep Learning, Causality, and Optimization techniques. 
• Proficiency in Python and experience with libraries such as TensorFlow, PyTorch, Scikit-learn, and Dask. 
• Experience with distributed machine learning and proficiency in using Dask for parallel computing. 
• Excellent understanding of data structures, data modeling. 
• Excellent problem-solving skills, attention to detail, and ability to work in a team-oriented environment. 
• Strong communication skills to effectively collaborate with team members and report to management. 

Desired Qualities

• Experience with networks is a significant asset. 
• Experience with graph databases, specifically Neo4j, for network topology and service modelling is a significant asset. 
• Demonstrates a 'can-do' attitude, always seeking innovative solutions, and pushing boundaries. 
• Maintains a startup mindset, thriving in a dynamic, fast-paced environment, and contributing positively to team energy. 
• Understands that the goal is not to use the most complex algorithm but to bring real value to our users.