Generative AI Engineer

D3 Security is at the forefront of innovation, harnessing the power of AI to transform cyber security operations and empower the next generation of security professionals. We are a dynamic, fast-growing company with a collaborative environment where creativity and technical expertise thrive. Join us as we push the boundaries of what's possible with AI, and help us build the future of intelligent cyber security solutions.

Job Overview:

We are seeking a talented and motivated Generative AI Engineer to join our team. In this role, you will work on developing cutting-edge generative models and AI-driven applications, with a focus on designing and optimizing architectures for tasks such as natural language processing (NLP) and process generation. The ideal candidate will have a strong background in AI and deep learning, a passion for generative technologies, and the ability to work across teams to deliver innovative solutions.

Key Responsibilities:

• Design, develop, and implement state-of-the-art generative models (e.g., GANs, VAEs, transformers) for a variety of applications.

• Collaborate with data scientists, researchers, and software engineers to build scalable AI systems and solutions.

• Optimize machine learning models for efficiency, accuracy, and scalability.

• Stay current with the latest advancements in AI research and integrate cutting-edge techniques into production systems.

• Experiment with novel architectures and techniques to enhance model performance.

• Work with cross-functional teams to define and address product requirements and deliver high-quality AI-driven solutions.

• Contribute to open-source projects or publications, as relevant.

Required Qualifications:

Education: Bachelors, Masters, or Ph.D. in Computer Science, Machine Learning, Artificial Intelligence, or a related field.

Experience:

• Proven experience (3 years) in AI/ML model development, with a focus on generative models.

• Strong knowledge of deep learning frameworks (e.g., TensorFlow, PyTorch, JAX).

• Experience with generative models such as GANs, VAEs, diffusion models, and transformers.

• Experience with LLM, Gen AI, OpenAI, Anthropic, Google AI, Llama, Perplexity

• Familiarity with natural language processing (NLP) or computer vision (CV) applications is a plus.

• Experience in deploying and scaling AI models in production environments.

Skills:

• Proficiency in Python and common machine learning libraries (e.g., NumPy, Pandas, Scikit-learn).

• Strong understanding of machine learning algorithms, optimization techniques, and model evaluation.

• Excellent problem-solving and analytical skills.

• Experience with cloud platforms (e.g., AWS, GCP, Azure) is a plus.

• Strong collaboration and communication skills.

Preferred Qualifications:

• Experience in research-driven AI roles or contributions to academic papers.

• Familiarity with large-scale datasets and distributed computing systems.

• Knowledge of reinforcement learning, meta-learning, or unsupervised learning techniques.

• Experience with model interpretability and explainability.

Why Join Us?

• Impact: Work on innovative AI technologies that will be used by many of the largest enterprises, governments and security services providers in the world.

• Growth: Access to continuous learning opportunities and career development in a rapidly growing field.

• Culture: A dynamic, inclusive, and collaborative environment where diverse perspectives are valued.

• Benefits: Competitive salary, health benefits, and generous paid time off.

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