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AI Specialist

Be Challenged and Make a Difference 


In a world of technology, people make the difference. We believe if we invest in great people, then great things will happen. At AnaVation, we provide unmatched value to our customers and employees through innovative solutions and an engaging culture. 


Job Overview: We are seeking an AI Specialist with deep expertise in large language models (LLMs), focused on fine-tuning and deploying these models for cybersecurity applications. In this role, you will combine your knowledge of AI with low-level programming (primarily C) to optimize systems for security purposes, focusing on performance, efficiency, and real-time threat detection. Your efforts will directly contribute to the development of cutting-edge AI solutions that address the most pressing cybersecurity challenges today.


Key Responsibilities:


- LLM Fine-Tuning & Model Development: Fine-tune and train large language models (LLMs), such as GPT and BERT, for specific offensive cybersecurity applications.

- C Programming for Cybersecurity Systems: Develop and optimize low-level code in C for high-performance components of AI-driven cybersecurity systems. Focus on optimizing AI model inference and ensuring the efficient handling of security relevant data.

- Integration of AI with Developers: Collaborate with developers to integrate fine-tuned LLMs into existing workflows.

- Data Handling & Preprocessing: Work with large datasets, including open and closed-source software repositories for model tuning.

- Model Deployment & Performance Optimization: Deploy models into production environments with a focus on scalability and real-time performance. 

- Cybersecurity-Specific NLP Tasks: Use LLMs to address cybersecurity-specific task .

- Research & Innovation: Continuously explore new techniques in both cybersecurity and AI to innovate and improve security systems. Stay up-to-date with the latest advancements in LLMs and low-level system optimizations for real-time AI applications.


Required Qualifications:
  • Expertise in Large Language Models (LLMs): Proven experience in fine-tuning and optimizing large language models (e.g., GPT, BERT, T5) for cybersecurity use cases. Deep knowledge of how to leverage these models for offensive cyber NLP tasks.
  • Proficiency in C Programming: Extensive hands-on experience in low-level programming, particularly in C.
  • Machine Learning Frameworks: Experience using machine learning libraries and frameworks such as PyTorch, TensorFlow, Hugging Face Transformers, etc., for model training and fine-tuning.
  • Cybersecurity Knowledge: Strong understanding of core offensive cyber topics.
  • Data Engineering & Preprocessing Skills: Proficiency in data preprocessing, feature extraction, and working with large datasets, with experience using tools like NumPy, pandas, and SQL.
  • AI Model Deployment & Monitoring: Experience deploying AI models in production, with an emphasis on performance optimization and monitoring for real-time systems. Familiarity with cloud platforms (AWS, Google Cloud, Azure) for model deployment.
  • Performance Optimization in C: Experience optimizing algorithms and code in C for maximum performance, particularly in handling high-throughput data and reducing latency in security-critical applications.


Preferred Qualifications:
  • Advanced Degree (Master's or Ph.D.) in Computer Science, Artificial Intelligence, Cybersecurity, or a related field.
  • Experience with real-time data processing and stream processing frameworks.
  • Familiarity with other low-level languages (C++, Rust) is a plus.
  • Knowledge of network security protocols, firewalls, and encryption techniques.
  • Understanding of secure coding practices and how to apply them in AI systems.


Benefits 

·        Generous cost sharing for medical insurance for the employee and dependents 

·        100% company paid dental insurance for employees and dependents 

·        100% company paid long-term and short term disability insurance 

·        100% company paid vision insurance for employees and dependents 

·        401k plan with generous match and 100% immediate vesting 

·        Competitive Pay 

·        Generous paid leave and holiday package 

·        Tuition and training reimbursement 

·        Life and AD&D Insurance


About AnaVation 

AnaVation is the leader in solving the most complex technical challenges for collection and processing in the U.S. Federal Intelligence Community. We are a US owned company headquartered in Chantilly, Virginia. We deliver groundbreaking research with advanced software and systems engineering that provides an information advantage to contribute to the mission and operational success of our customers. We offer complex challenges, a top-notch work environment, and a world-class, collaborative team.  


If you want to grow your career and make a difference while doing it, AnaVation is the perfect fit for you! 

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CEO of AnaVation
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Charles Quillin
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What You Should Know About AI Specialist, AnaVation

At AnaVation, we believe in people making the difference in the ever-evolving world of technology. That's why we are on the lookout for an AI Specialist who possesses a deep understanding of large language models (LLMs) and is passionate about fine-tuning these models for exciting cybersecurity applications. When you join us in Chantilly, VA, you won't just be another employee; you'll be part of a culture that values innovative solutions and invests in great talent. Your role will involve hands-on experience fine-tuning LLMs like GPT and BERT, while also diving into low-level programming with C to enhance security systems' performance. You'll collaborate closely with developers to integrate AI-enhanced solutions into existing workflows and tackle a variety of data preprocessing tasks using tools like NumPy and pandas. Plus, you'll get a chance to stay on the cutting edge of research by exploring new AI and cybersecurity techniques. Not only will you directly contribute to developing advanced AI systems aimed at tackling pressing cybersecurity challenges, but you're also stepping into an environment where your insights and innovations really matter. Join AnaVation, where complex challenges await, and together, we can redefine the future of cybersecurity with the power of AI!

Frequently Asked Questions (FAQs) for AI Specialist Role at AnaVation
What are the primary responsibilities of an AI Specialist at AnaVation?

An AI Specialist at AnaVation is primarily responsible for fine-tuning large language models (LLMs) such as GPT and BERT for cybersecurity applications. This role also includes collaborating with developers to integrate LLMs into existing workflows, optimizing low-level C code for performance, and handling large datasets for model training and data preprocessing, ultimately advancing our cybersecurity measures.

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What qualifications are needed to become an AI Specialist at AnaVation?

To qualify for the AI Specialist position at AnaVation, candidates must demonstrate a proven track record in fine-tuning and optimizing large language models, proficiency in C programming, and experience with machine learning frameworks like PyTorch and TensorFlow. Additionally, a strong understanding of cybersecurity topics, data engineering skills, and a noteworthy background in AI model deployment are essential.

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What programming languages should an AI Specialist at AnaVation be familiar with?

An AI Specialist at AnaVation should be proficient in C programming, as this role involves optimizing low-level code for enhancing cybersecurity systems. Knowledge of additional languages such as C++ and Rust is preferable, along with familiarity with machine learning libraries and tools for data processing to support AI workflows.

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How does an AI Specialist contribute to cybersecurity at AnaVation?

An AI Specialist contributes to cybersecurity at AnaVation by developing AI-driven solutions that enhance the detection and response to security threats. This involves fine-tuning LLMs for offensive cybersecurity applications, integrating AI models into existing systems, and ensuring the efficient handling of security-relevant data to keep our digital environments safe.

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What is the work culture like for an AI Specialist at AnaVation?

The work culture for an AI Specialist at AnaVation is collaborative and focused on innovation. We pride ourselves on fostering an engaging environment where team members can tackle complex challenges together. Employees are supported in their professional growth, and the company encourages continuous learning through research and application of advanced technologies in cybersecurity.

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Common Interview Questions for AI Specialist
Can you describe your experience with large language models and how you've applied them in cybersecurity?

In answering this question, provide specific examples of the LLMs you've worked with, highlighting the projects where you've successfully applied these models to solve cybersecurity challenges. Discuss your methods for fine-tuning these models for offensive applications, and how this impacts performance and effectiveness in real-world scenarios.

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What programming projects have you completed in C and how do they relate to cybersecurity?

Share details of your C programming projects, emphasizing those that had direct implications for cybersecurity. Explain the process of optimizing code for performance, how you approached problem-solving in a security context, and the benefits these projects delivered in enhancing system security.

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How do you stay current with developments in AI and cybersecurity?

Discuss your strategies for keeping abreast of industry trends, such as following relevant publications, participating in online forums and conferences, or engaging in continuous education. Emphasize your commitment to learning and applying new techniques that can benefit your role as an AI Specialist.

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Can you give an example of a data preprocessing challenge you faced and how you resolved it?

Illustrate a specific data preprocessing problem you've encountered, detailing the steps you took to resolve it. Focus on the tools and techniques you employed, such as using pandas or NumPy, and discuss the impact of your solution on the overall effectiveness of the machine learning model you were working on.

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What experience do you have with deploying machine learning models in production?

Provide a clear overview of your experience deploying machine learning models, addressing the complexities you faced during deployment. Discuss techniques you used for monitoring performance and ensuring reliability in real-time environments, and how these experiences prepare you for the AI Specialist role at AnaVation.

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What do you consider the most significant challenges in integrating AI into existing cybersecurity workflows?

Reflect on common obstacles such as resistance to change within teams, maintaining system performance, and ensuring data security during integration. Discuss how you've tackled these challenges in the past and propose solutions that highlight your proactive mindset and technical expertise.

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What machine learning frameworks do you prefer and why?

Mention specific frameworks like PyTorch, TensorFlow, or Hugging Face Transformers. Explain your preferences based on usability, community support, and particular features that make them suitable for fine-tuning large language models within cybersecurity contexts.

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Describe a project where you collaborated with a team of developers. What was your contribution?

Share a detailed account of a collaborative project, focusing on your specific contributions regarding AI model integration. Highlight how your input enhanced team performance and successful outcomes, reinforcing your capability to work alongside developers while driving technical initiatives.

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How would you approach optimizing AI model performance in a cybersecurity application?

Discuss your methodical approach to performance optimization, including analyzing current bottlenecks, implementing best practices in model training, and adjusting parameters. Emphasize the importance of iterative testing to ensure the AI model meets both security and performance standards.

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What are your thoughts on the future of AI in cybersecurity?

Express your insights on emerging trends in AI as they relate to cybersecurity, including advancements in threat detection, automation of incident responses, and ethical considerations. Highlight how you foresee contributing to these developments as an AI Specialist at AnaVation.

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To accomplish our mission, we focus on two things: our customers and our employees. To Our Customers: We are committed to: Providing unparalleled service Ensuring that our work directly supports our customer’s mission Delivering exceptional val...

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December 4, 2024

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