Staff Machine Learning Engineer – LLMs
Our client, a FinTech innovator, are hiring a Staff Machine Learning Engineer with expertise in Large Language Models (LLMs) to join the team remotely. The successful candidate will be responsible for building Generative AI and LLMs solutions in a in a fast paced environment that will help transform financial advice delivery.
Responsibilities
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Lead the development and customization of large language models tailored for financial use cases.
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Apply cutting-edge tuning methodologies to enhance performance across conversational AI, content generation and strategic reasoning tasks.
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Create intelligent retrieval systems that combine multiple search approaches, semantic understanding and ranking mechanisms to deliver contextually relevant information at scale.
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Engineer autonomous AI systems capable of independent decision-making, integrating feedback loops and adaptive learning techniques to continuously enhance agent capabilities.
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Establish comprehensive testing and monitoring frameworks while overseeing production deployments that maintain high-performance standards under real-world conditions.
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Work closely with cross-functional teams to transform AI research into market-ready features that solve genuine business challenges.
Skillset
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Minimum 5 years of professional experience applying machine learning in commercial settings post-graduation.
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Must have at least 2 years’ experience working with LLMs and finetuning like QLORA / LORA and building RAG systems.
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Demonstrable success delivering end to end ML /AI products where generative AI drives core functionality, with particular emphasis on systems that exhibit autonomous behavior patterns.
Benefits
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Salary: $190,000 – $225,000 .
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Equity.
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Comprehensive health/dental/vision coverage.
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Retirement plans.
If interested hit apply below or reach out to me at joseph.mcdermott@alldus.com
55821
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