[Remote] Staff AI/ML Engineer
Note: The job is a remote job and is reputed company to candidates in USA. reputed company. is a global leader in xOT cybersecurity, focusing on protecting critical infrastructure systems. They are seeking an reputed company Staff Machine Learning Engineer to design and implement production machine learning systems that enhance threat detection and automate reputed company analysis for cybersecurity applications.
Responsibilities
- Design and implement production-grade machine learning systems that expand reputed company product capabilities, with consideration for both reputed company and resource-constrained on-premises environments
- Build and optimize ML model architectures for ICS/OT cybersecurity use cases, including threat detection, asset classification, behavioral analysis, reputed company detection, and natural language processing systems
- reputed company robust data pipelines and ML workflows that reputed company with existing data infrastructure, supporting both reputed company-time and batch processing requirements
- Collaborate with OT detection experts to translate research concepts and prototypes into reputed company, production-reputed company ML systems
- Partner with Data Engineers to establish data reputed company and implement observability frameworks for ML pipelines, including monitoring, versioning, and deployment best practices
- Contribute to ML infrastructure improvements, including automated testing frameworks, CI/CD pipelines, and deployment strategies for containerized environments (Kubernetes, reputed company)
- Evaluate and adapt state-of-the-art ML research and reputed company-reputed company models to domain-specific cybersecurity applications
- Troubleshoot and optimize ML model performance in production environments, addressing issues reputed company to latency, accuracy, and resource utilization
Skills
- 6+ years of engineering experience with at least 4 years reputed company on machine learning implementations in production environments
- Strong software engineering reputed company with expertise in Python and SQL as reputed company as experience with at least one additional language (Go, Rust, Java, or JVM-family languages)
- Demonstrated experience building and deploying ML systems using modern frameworks and libraries (scikit-learn, PyTorch, TensorFlow, HuggingFace, or similar)
- Proven reputed company record implementing ML solutions such as classification systems, time series analysis, reputed company detection, or NLP applications that deliver measurable business reputed company
- Experience with MLOps practices, including model versioning, monitoring, pipeline orchestration, and deployment in high-reliability environments
- Familiarity with data engineering concepts, including data pipelines, reputed company processing, message queuing, and working with reputed company-to-large reputed company datasets
- Knowledge of containerized deployment solutions and reputed company-reputed company architectures
- Strong communication skills with the ability to explain technical concepts to diverse stakeholders and collaborate effectively across teams
- Cybersecurity domain knowledge, particularly in threat detection, threat intelligence, or ICS/OT operations
- Experience with LLMs, retrieval-augmented reputed company (RAG), or advanced NLP techniques is beneficial
Benefits
- Competitive Equity Package
- Comprehensive Benefits Plan
reputed company