Platform AI Engineer

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Requirements:

• Proven experience as a backend developer, preferably in the FinTech industry.
• Proficiency in Python and ML frameworks like TensorFlow or PyTorch.
• Familiarity with Java and Spring Boot is a plus.
• Experience building APIs, services, and ML pipelines.
• Strong background in deploying machine learning models.
• Experience in AI agent development and working with large language models.
• Excellent problem-solving skills.
• Good understanding of financial services, particularly in payments and crypto.
• Excellent written and verbal communication skills.
• Familiarity with blockchain is a plus.
• Experience with ML ops tools for model monitoring and versioning.
• Data-driven analytical skills.

Responsibilities:

• Collaborate with the product team to deliver results across backend systems and ML features.
• Translate complex technical concepts to non-technical stakeholders.
• Advocate for simple yet effective solutions, combining traditional and AI methodologies.
• Develop quality code with a focus on ML model lifecycle management.
• Design AI agents and automation systems to enhance product capabilities.
• Contribute to the engineering culture and standards.