Machine Learning Defense Jobs in Raleigh, NC (NOW HIRING)

Senior Consultant - Cyber Defense & Resilience - Security Operations

Qualifications:

Required:

• 2+ years of relevant Analytics consulting or industry experience
• 2+ Experience with AI development tools such as vector databases (Pinecone, Elastic, etc.) and AI development frameworks (Langchain, CrewAI, etc.)
• 2+ years experience in statistical analysis, machine learning, and data mining techniques.
• 2+ years of experience using statistical computer languages (Python, SQL, R, SAS, etc.) to prepare data for analysis, visualize data as part of exploratory analysis, generate features, and other similar data science driven data handling
• 2+ years of experience using cyber security cloud platforms (Google SecOps, AWS, Azure, etc.)
• 1+ years of experience with SOC threat hunting and incident response
• Demonstrated expertise with one full life cycle analytics engagement across strategy, design and implementation.
• Bachelor's Degree in Engineering, Mathematics, Empirical Statistics or 4 years equivalent professional experience
• Ability to travel up to 50%, on average, based on the work you do and the clients and industries/sectors you serve
• Limited immigration sponsorship may be available.

Preferred:

• Experience architecting, designing, developing and deploying enterprise data science solutions which include components across the Artificial Intelligence spectrum such as NLP, Chatbots, Virtual Assistants, Computer Vision, and Cognitive Services as well the use of big data tools for the management of massive datasets.
• Knowledge of the intersection of AI / ML / Advanced Data Engineering and cybersecurity specific use cases for Detection, cyber threat response acceleration.
• Experience parsing and normalizing cyber or IT specific telemetry datasets
• Expertise in Python machine and deep learning frameworks and libraries, e.g. PyTorch, Keras, Tensorflow, Scikit-learn, Numpy, SciPy
• Experience designing and implementing Apache Open Source (Kafka, Storm, Spark) frameworks to process end to end data management life cycle
• Ability to work independently and manage multiple task assignments.
• Strong oral and written communication skills, including presentation skills (MS Visio, MS PowerPoint).

Senior Consultant - Cyber Defense & Resilience - Security Operations

Qualifications:

Required:

• 2+ years of relevant Analytics consulting or industry experience
• 2+ Experience with AI development tools such as vector databases (Pinecone, Elastic, etc.) and AI development frameworks (Langchain, CrewAI, etc.)
• 2+ years experience in statistical analysis, machine learning, and data mining techniques.
• 2+ years of experience using statistical computer languages (Python, SQL, R, SAS, etc.) to prepare data for analysis, visualize data as part of exploratory analysis, generate features, and other similar data science driven data handling
• 2+ years of experience using cyber security cloud platforms (Google SecOps, AWS, Azure, etc.)
• 1+ years of experience with SOC threat hunting and incident response
• Demonstrated expertise with one full life cycle analytics engagement across strategy, design and implementation.
• Bachelor's Degree in Engineering, Mathematics, Empirical Statistics or 4 years equivalent professional experience
• Ability to travel up to 50%, on average, based on the work you do and the clients and industries/sectors you serve
• Limited immigration sponsorship may be available.

Preferred:

• Experience architecting, designing, developing and deploying enterprise data science solutions which include components across the Artificial Intelligence spectrum such as NLP, Chatbots, Virtual Assistants, Computer Vision, and Cognitive Services as well the use of big data tools for the management of massive datasets.
• Knowledge of the intersection of AI / ML / Advanced Data Engineering and cybersecurity specific use cases for Detection, cyber threat response acceleration.
• Experience parsing and normalizing cyber or IT specific telemetry datasets
• Expertise in Python machine and deep learning frameworks and libraries, e.g. PyTorch, Keras, Tensorflow, Scikit-learn, Numpy, SciPy
• Experience designing and implementing Apache Open Source (Kafka, Storm, Spark) frameworks to process end to end data management life cycle
• Ability to work independently and manage multiple task assignments.
• Strong oral and written communication skills, including presentation skills (MS Visio, MS PowerPoint).