Lead AI Developer
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Role details
Tech stack
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Requirements
More than 8 years of experience in software/AI/ML development, including cloud and distributed architecture and platform solutions.
Hands-on experience with major cloud platforms: Azure, Google Cloud Platform, and AWS.
Experience with Kubernetes and container orchestration.
Experience with event-driven frameworks/platforms and high-volume data processing.
Extensive experience with Generative AI (GenAI) and Machine Learning solution design and implementation.
Experience building complex agentic workflows and automation solutions.
Experience with financial data processing and analytics enabled by AI/ML.
Experience building semantic layers using RAG, Knowledge Graph, and GraphRAG technologies.
Experience enabling NLP-based querying against large, complex relational databases.
Experience with analytics AI use cases such as forecasting, fraud detection, and prediction using ML.
Skills & Competencies
Strong ability to translate business processes into AI/automation architecture and detailed technical designs.
Ability to work independently with minimal oversight while managing multiple stakeholders.
Strong analytical and problem-solving skills with an AI-first mindset.
Excellent communication and presentation skills, with the ability to engage business leaders and large IT audiences effectively., Strong collaboration and soft skills, with the ability to build trust with business and technology stakeholders.
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Prepare application
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