Senior Machine Learning Engineer / Machine Learning Architect, Axiad

• Do you have a passion for ML and AI and building the future of identity?
• Do you enjoy exploring building and deploying new and evolving models for novel applications?
• Would you like to be pivotal in both feature engineering, model development and training, and shaping use cases for its application?
• 5+ years of commercial experience in ML/AI with a strong focus on cyber security applications
• Proficiency with ML frameworks such as TensorFlow, PyTorch, and Scikit-learn
• Experience with machine learning algorithms and techniques, including but not limited to gradient boosting, LSTM, RNN, GNN, transformers, deep learning, and distillation
• Proficiency in supervised fine-tuning, RLHF, policy optimization, natural language processing, behavioral classifiers, and anomaly detection, and other advanced ML techniques
• Demonstrated experience in building models leveraging advanced data storage and analysis techniques, including vector databases, search indices, graph analysis, and time series analysis
• Knowledge of cyber security principles and practices
• Strong understanding of MLOps practices and experience in implementing them
• Proficiency in Python
• Master’s. degree in Computer Science, Data Science, Machine Learning, or a related field, or relevant comparable experience
• Excellent problem-solving abilities and the capacity to thrive in a fast-paced environment
• Able to operate successfully and nimbly in a dynamic environment where things are sometimes less clearly defined
• Strong communication skills with the ability to articulate complex technical concepts to non-technical stakeholders
• Excellent time management and organizational skills
• Attention to detail, self-motivated, creative and flexible

Desirable

• If yes, we are looking for a Senior ML Engineer or Architect to be actively involved in identifying opportunities to innovate and differentiate via ML, and build out the capabilities in our product offerings, in addition to being a key player in the building out the foundations of our data driven culture
• Design, develop, and deploy machine learning models to detect anomalies and predict security threats
• Conduct comprehensive analyses of time series data, network graphs, and other data types to identify identity security threats and trends
• Apply and refine large language models (LLMs) to improve and specialize natural language understanding mechanisms
• Implement and maintain MLOps practices to ensure efficient data labeling, model training, and continuous deployment pipelines
• Design and architect scalable machine learning systems and frameworks for deploying and maintaining models in production environments
• Collaborate with cross-functional teams to ensure seamless integration of ML models into our security infrastructure
• Work with DevOps teams to design data pipelines needed to feed model development and refinement
• Stay current with the latest advancements in ML/AI and cyber security to drive continuous improvement and innovation in our solutions