About Us:

At Prompt Security, our mission is to empower organizations to safely harness the transformative power of Generative AI. As a one-stop security platform, we provide visibility, governance, and real-time protection against all GenAI concerns, enabling organizations to innovate and prosper in the age of AI without compromising on security.

The Generative AI security field is booming, and Prompt Security is at the forefront of this revolution. This market's rapid growth demands agility and flexibility from our team. As a Senior Data Scientist with us, you'll be navigating an exciting landscape where innovation is constant, and the ability to adapt and iterate quickly is not just an advantage—it's a necessity. We're looking for someone who thrives in fast-paced environments, someone eager to tackle new challenges and pivot with ease. This is more than a job; it's a journey into the future of cybersecurity, offering unparalleled opportunities for growth, learning, and impact. If you're passionate about staying ahead in a dynamic market and possess the agility to keep pace with its evolution, Prompt Security is your arena to shine.

What we’re looking for:

We are seeking a skilled and innovative data scientist with deep expertise in machine learning frameworks like TensorFlow and PyTorch, and strong programming skills in Python. You should have experience building scalable AI/ML architectures, optimizing models, and generating synthetic data for model training. The ideal candidate can solve complex problems with a data-driven approach and collaborate effectively with cross-functional teams, communicating technical concepts to non-technical stakeholders. We value adaptability, curiosity, and a commitment to staying current with AI advancements, with the ability to lead initiatives and drive continuous improvement.

What you will do:

• Serve as the primary engineering expert within a cross-functional team of product managers and engineers, driving the team to deliver cutting-edge AI pipelines and services that meet production standards.
• Ensure AI/ML architectures are designed for scalability, reliability, and optimal performance.
• Address and solve complex challenges in the integration and implementation of AI/ML solutions.
• Experiment with and evaluate new machine learning models, optimizing them for performance and suitability in production environments.
• Collect, curate, and preprocess datasets, and generate synthetic data where needed to enhance model training and evaluation.
• Stay ahead of the curve by continuously updating your knowledge of the latest AI trends, tools, and best practices.

Requirements:

• Proficiency in Machine Learning and AI frameworks: Strong understanding of tools like TensorFlow, PyTorch, Transformers
• Data engineering expertise: Experience in collecting, preprocessing, and cleaning data, as well as working with large datasets.
• Model evaluation and experimentation: Ability to fine-tune and optimize models, as well as evaluate model performance and outcomes.
• Programming skills: Expertise in Python as well as familiarity with SQL and possibly cloud technologies like AWS, Google Cloud, or Azure.
• Experience with AI/ML pipelines: Knowledge of how to build, deploy, and maintain scalable AI/ML systems.
• Scalability and optimization: Focus on improving the reliability, efficiency, and performance of AI architectures.
• Familiarity with synthetic data generation: Experience in creating synthetic datasets to simulate real-world conditions for model training.

This role provides a unique opportunity to harness your skills, advance your career, and contribute to our mission of crafting innovative AI security solutions for our customers.