About Creditsafe
Creditsafe manages the world’s largest database of 320 million companies across more than 100 countries, supporting informed and data-driven business decisions. We are expanding rapidly, with a focus on data and AI innovations to drive growth. Creditsafe is committed to making valuable insights available to our clients through data.
About the Opportunity
As a Principal AI Engineer, you will lead the development of AI solutions across Creditsafe’s products, designing advanced AI models and agents to enhance decision-making for our clients. You will oversee the entire AI lifecycle, from research to deployment, and contribute to shaping Creditsafe’s AI strategy.
Key Responsibilities
AI Strategy Development: Develop and implement AI strategies that align with Creditsafe’s business goals, supporting customer needs and product growth.
Model Development and Deployment: Design, build, and implement AI and machine learning models to address specific business challenges such as fraud detection, risk assessment, and customer insights.
AI Agent Innovation: Lead projects involving advanced AI agents that use Creditsafe’s data assets to provide predictive insights and proactive solutions in our products.
Large Language Model (LLM) Deployment: Oversee the setup and optimization of large language models (LLMs) that operate within Creditsafe’s secure environments, ensuring effective data use and high model accuracy.
Team Collaboration: Work closely with data engineering, product, and analytics teams to integrate AI models into Creditsafe’s data systems, supporting smooth implementation and alignment with product goals.
Research and Innovation: Stay updated on advancements in natural language processing, generative AI, and other areas; convert research into practical, scalable solutions.
Mentorship: Provide guidance to team members on best practices in AI model development, performance optimization, and deployment.
Strategic Vision: Contribute to shaping Creditsafe’s long-term AI goals to ensure AI capabilities are a core part of the organization’s growth and future.
Required Qualifications
Extensive AI Experience: 8+ years in AI, machine learning, or data science, with experience leading major AI projects and deployments.
Technical Skills: Strong proficiency in machine learning and deep learning frameworks (e.g., TensorFlow, PyTorch), and experience with cloud platforms, particularly AWS.
LLM Expertise: Experience building, tuning, and managing large language models in secure, data-intensive environments.
Programming Proficiency: Expertise in Python, SQL, data pipeline technologies, and knowledge of data infrastructure and machine learning operations.
Communication Skills: Ability to clearly explain AI concepts and technical information to diverse audiences.
Additional Skills: Familiarity with reinforcement learning, generative AI, NLP, and graph analytics is beneficial.
Why Creditsafe?
Career Impact: Lead AI projects with global influence and shape Creditsafe’s AI direction.
Professional Development: Access the latest AI resources, industry events, and conferences to continue developing your expertise.
Purposeful Work: Join a team focused on AI-driven innovation, contributing to products that support business decision-making worldwide.
Supportive Environment: Work in a collaborative, flexible environment that values work-life balance and teamwork.