Sr. Associate AI ML Engineer
Core
Developing and implementing AI-driven solutions to enhance cybersecurity measures, including automated threat detection, alert triage, and incident investigation.
Role type
Senior IC machine-learning engineer (cybersecurity)
Builds
AI agents, multi-agent workflows, and security analytics pipelines
Domain
Cybersecurity / Biotechnology
Deliverable
production ML models
Required skills
Machine learning algorithms, generative AI, large language models, agent-based architectures, statistical techniques, feature extraction, predictive analytics
Preferred skills
Python, TensorFlow, PyTorch, Scikit-learn, LangChain, LlamaIndex, Semantic Kernel, AutoGen, vector databases, embedding models, MLOps, AWS, Azure, Google Cloud, Databricks
Technologies
Python, TensorFlow, PyTorch, Scikit-learn, LangChain, LlamaIndex, Semantic Kernel, AutoGen, AWS, Azure, Google Cloud, Databricks
Responsibilities
Develop analytics, machine learning models, and agentic AI solutions to address security risks; Design, build, and evaluate AI agents and multi-agent workflows for cybersecurity use cases; Apply generative AI and LLMs to automate security analysis and support human-in-the-loop decision-making; Collaborate with Data Engineers to translate algorithms into scalable, production-ready solutions; Design and implement security-focused analytics pipelines leveraging MLOps practices; Contribute to data engineering efforts to refine data infrastructure; Generate reports and artifacts to document work and outcomes.
Seniority
Senior, hands-on IC
