Senior Staff Applied ML Engineer
Core
Partner with product teams to extract insights from data and build AI-powered features and automated workflows for IT management and cybersecurity software.
Role type
Senior Staff Applied ML Engineer (Platform/Enablement)
Builds
AI-powered features, automated workflows, and data analysis tools for MSPs and internal IT organizations.
Domain
IT Management & Cybersecurity
Deliverable
production ML models | product features | infrastructure
Required skills
Python, pandas, PySpark, matrix factorization, clustering, dimensionality reduction, supervised learning, classification, feature engineering, PyTorch, SQL, data warehousing, API integration, microservices, technical leadership, mentoring
Preferred skills
LLMs, RAG, prompt engineering, fine-tuning, agent orchestration, MLOps tools (MLflow, Kubeflow, SageMaker, Vertex)
Technologies
Python, pandas, PySpark, PyTorch, SQL, MLflow, Kubeflow, SageMaker, Vertex
Responsibilities
Explore and analyze data using Python and distributed frameworks; create, tune, and productionize ML models for categorization, recommendations, and ranking; design and implement AI-driven ingest flows for unstructured inputs; build workflows for auto-filling fields, proactive user engagement, and automating Level 1 requests; integrate models into production systems with monitoring; define patterns and best practices for data ingestion and model usage across teams; mentor junior engineers and conduct code/model reviews.
Seniority
Senior Staff, hands-on IC with cross-team leadership
