Lead Software Engineer II – Machine Learning

Lead Software Engineer II – Machine Learning

Requirements

• 8-10 years of software development experience, and direct experience in building and evaluating ML models and delivering large-scale ML products.
• MS or PhD in a relevant field
• Proficient in crafting machine learning models, including neural networks, transformer models, Large Language Models, decision trees, and other traditional machine learning models
• Fluent in machine learning frameworks such as SKLearn, XGBoost, PyTorch, or Tensorflow
• Proficient in Python and able to transform abstract machine learning concepts into robust, efficient, and scalable solutions
• Strong Computer Science fundamentals and object-oriented design skills
• History of building large-scale data processing systems
• Background working in a fast-paced development environment
• Strong team collaboration and communication skills

Responsibilities

• Collaborate with a team of skilled engineers to design, implement, and maintain large-scale AI/ML pipelines for real-time anomaly detection
• Responsible for training and tuning the models and performing model evaluations using Deep Learning Machine Learning (AI/ML) Models, and Large Language Models
• Design and implement sophisticated anomaly detection algorithms, such as Isolation Forests, LSTM-based models, and Variational Autoencoders
• Create robust evaluation frameworks and metrics to assess the performance of these algorithms
• Implement and optimize stream processing solutions using technologies like Flink and Kafka

Preferred Qualifications

No preferred qualifications provided.