Golden Technology ยท 6 days ago
Generative AI Engineer
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Responsibilities
Architect and implement scalable AI/ML solutions to address critical business use cases.
Develop AI solutions to enhance operational efficiency, cost optimization, and compliance adherence.
Drive hands-on development using RAG, PyTorch, TensorFlow, GenAI, and system-generated models.
Design and optimize solutions using vector databases for efficient data retrieval and embedding storage.
Collaborate with business and IT teams to translate requirements into technical solutions.
Provide mentorship and guidance to team members, fostering a collaborative environment.
Stay current with industry trends to introduce cutting-edge AI capabilities.
Deploy production-ready AI/ML systems tailored to enterprise applications in finance.
Lead AI/ML strategy development and execution across teams.
Communicate technical solutions effectively to diverse stakeholders, including large audiences.
Qualification
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Required
5+ years in AI/ML development with a strong focus on RAG, PyTorch, TensorFlow, GenAI technologies, and system-generated models.
10+ years of IT experience, showcasing leadership and technical depth.
Proven ability to architect scalable, enterprise-grade AI systems tailored to financial applications.
In-depth understanding of financial systems, regulatory landscapes, and data-driven decision-making.
Track record of building proof-of-concept AI/ML applications and scaling them into enterprise-grade solutions.
Exceptional ability to present technical solutions to diverse audiences, including large groups.
Potential to grow the team by hiring and mentoring additional resources as workload increases.