Principal Artificial Intelligence Engineer
About Creditsafe:
Creditsafe, with the world's largest proprietary database of 320 million companies spanning over 100 countries, is at the forefront of enabling data-driven business decisions. As a rapidly scaling data-centric organization, Creditsafe empowers customers to uncover insights and actionable intelligence from vast data volumes. With major growth ahead, Creditsafe is driving new data and AI innovations to fuel this expansion.
About the Opportunity:
As a Principal AI Engineer, you will lead the strategic development of AI solutions across Creditsafe’s global products, architecting next-generation AI agents and models that will transform decision-making for our clients. This role requires a visionary AI leader with the expertise to deploy advanced models at scale and a deep understanding of Creditsafe’s strategic objectives. You’ll take end-to-end ownership of critical AI initiatives, from research through deployment, while guiding Creditsafe’s AI roadmap and fostering cross-functional alignment on AI and ML strategies.
Key Responsibilities:
* Strategic AI Leadership: Define, drive, and scale AI strategies that align with Creditsafe’s business goals, identifying and building new AI capabilities to support customer and product innovation.
* End-to-End Model Ownership: Architect, develop, and deploy robust AI and machine learning models, addressing high-value business challenges such as fraud detection, risk scoring, and customer segmentation.
* Innovative AI Agents: Lead the design and deployment of advanced AI agents, leveraging Creditsafe’s rich data assets to deliver predictive insights and proactive solutions in Creditsafe’s products.
* Advanced LLM Deployment: Spearhead the local deployment and fine-tuning of large language models (LLMs) that integrate seamlessly within Creditsafe’s secure environments to maximize data utilization and model accuracy.
* Cross-Functional Collaboration: Partner with data engineering, product, and analytics teams to operationalize AI models, ensuring smooth integration within Creditsafe’s data ecosystem and alignment with product objectives.
* Research and Innovation: Keep Creditsafe at the cutting edge of AI by exploring advancements in NLP, generative AI, reinforcement learning, and other key areas; lead the translation of research into practical, scalable solutions.
* Mentorship and Technical Guidance: Provide strategic mentorship, fostering a culture of AI excellence and promoting best practices in model evaluation, optimization, and MLOps.
* Organizational Strategy Contribution: Help define Creditsafe’s long-term AI vision, ensuring AI capabilities are embedded within the organization to drive future growth and innovation.
Required Qualifications:
* Extensive AI Experience: AI, machine learning, or data science, with a strong track record of leading large-scale AI deployments and initiatives.
* Advanced Technical Expertise: Mastery of ML and deep learning frameworks (e.g., TensorFlow, PyTorch) and strong proficiency with cloud platforms, particularly AWS.
* LLM Specialization: Proven experience in building, fine-tuning, and securing large language models (LLMs) within high-volume, sensitive data environments.
* Proficiency in Core Languages and Tools: Expert in Python, SQL, data pipeline technologies, and knowledgeable in data infrastructure and MLOps best practices.
* Problem-Solving and Communication Skills: Exceptional ability to distill complex AI concepts and communicate effectively with both technical and non-technical stakeholders.
* Familiarity with reinforcement learning, generative AI, NLP, and graph analytics is a plus.
Why Creditsafe?
* Career Influence: Shape Creditsafe’s AI trajectory and lead impactful AI projects at a global scale.
* Continuous Learning: Access to the latest resources, conferences, and industry events to keep advancing your AI expertise.
* Meaningful Impact: Join a team committed to AI-driven transformation and the creation of innovative data products that influence global business decisions.
* Collaborative Culture: Enjoy a flexible, supportive work environment that values work-life balance and teamwork.
Seniority level: Mid-Senior level
Employment type: Full-time
Job function: Information Technology
Industries: Information Services
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