Senior Machine Learning Engineer
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Job Description
Sr. Machine Learning Engineer developing machine learning solutions for network security challenges at a cybersecurity company. Collaborating with data scientists to enhance AI capabilities.
Responsibilities:
- Lead to the full range of development stages for AI/ML projects, from early explorations to productization and maintenance.
- Work closely with data scientists and network security experts to design and implement scalable ML pipelines for large datasets.
- Design and implement strategies to deploy LLMs and for fine-tuning.
- Conduct experiments, analyze results and resource consumption using various metrics and visualization techniques.
- Drive adoption of ML development best practices in code health, quality, test stability and maintainability.
- Participate in technical discussions within the Labs team and collaborate with other teams across the organization.
- Work in an Agile development team focused on exploring and delivering ML use cases.
Requirements:
- 5+ years experience developing, optimizing, troubleshooting, and maintaining large-scale machine learning/AI or systems.
- Experience in DevOps and/or MLOps: continuous integration and delivery, automation of ML workflows, and deployments to production environments.
- Experience deploying/building LLM Agents for agentic workflows.
- Understanding of model testing and validation techniques for ensuring model quality and performance.
- Proficient in Python and data science libraries (Pandas, Scikit-Learn, Keras, PyTorch, Tensorflow).
- Experience using Docker and/or Kubernetes, and containerized applications.
- Degree in Computer Science or related fields, or equivalent experience.
Benefits:
- Equity and additional benefits will also be awarded.
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