Mimecast is seeking a Machine Learning Engineer II to join their product development team working on Incydr, their Insider Risk Management product, to develop and deploy machine learning models that protect businesses and individuals from evolving threats.
Requirements
- Advanced programming proficiency in Python, C++, Java, or Kotlin
- Hands-on expertise with leading tools and frameworks including PyTorch, NLTK, Spacy, OpenCV, Tesseract, and Huggingface
- Robust understanding of linear algebra, stochastic optimization, and probability theory
- Deep theoretical and practical knowledge of statistical inference and machine learning
- Experience in utilizing AWS data services such as ECS, Kinesis, Lambda, S3, Glue, Sagemaker, Bedrock, Athena, RDS, and Redshift for scalable data processing and deployment
- Experience in architecting and deploying scalable generative AI services leveraging frameworks such as Langchain, Llamaindex, n8n, and sprintAI
- Proficiency in utilizing version control systems to manage and collaborate on codebases efficiently
Responsibilities
- Research, design, develop, and maintain state-of-the-art machine learning models optimized for accuracy, latency, and throughput.
- Train, evaluate, and fine-tune models using best practices in model selection, validation, and performance optimization.
- Provide recommendations and strategies to manage scalability, tuning, and other configurations within the data infrastructure.
- Design and implement robust, end-to-end data and ML pipelines capable of feeding real-time data products.
- Source, clean, and perform feature engineering on raw data using a variety of data tools and frameworks.
- Productionize and deploy ML models, ensuring seamless integration with existing systems.
- Monitor deployed models for efficacy, throughput, and latency, and iterate as needed to maintain optimal performance.
Other
- Ideally hold a Ph.D. or Master’s degree in a quantitative discipline with a minimum of four years’ experience applying advanced machine learning techniques to real-world industry challenges
- Demonstrate exceptional analytical and problem-solving skills, with meticulous attention to detail and accuracy
- Exhibit intellectual curiosity and a strong growth mindset, with a proven ability to learn rapidly in dynamic, loosely structured environments
- Take ownership of deliverables and demonstrate accountability as an integral member of a collaborative team
- Communicate effectively and comfortably with non-technical colleagues and stakeholders
