Principal Machine Learning Engineer - Alldus International Consulting : Job Details

Our client, a leading FinTech organization, are hiring a Principal Machine Learning Engineer to join their Applied AI team in New York. The successful candidate will take technical ownership of a key product line, specializing in generative AI solutions that leverage large language models (LLMs) at their core.

Responsibilities

• Shape and execute the company's AI strategy to drive continuous innovation and business growth.

• Work closely with product and engineering teams to develop comprehensive, end-to-end AI-powered products.

• Design and implement multi-agent systems that automate workflows and enhance operational efficiency.

• Develop AI-driven co-pilot tools to optimize advisor processes such as prospecting, conversion, onboarding and client servicing.

• Build tailored models to manage complex financial interactions, delivering fast, actionable insights.

• Create innovative solutions to seamlessly integrate and optimize legacy systems with modern AI technologies.

• Lead rapid zero-to-one product development cycles, including prototyping, testing and feature integration.

• Design and fine-tune both open-source and proprietary large language models for applications including question answering, summarization, reasoning and planning.

• Employ reinforcement learning methods to continually enhance model accuracy and performance.

Skillset

• Master's or PhD degree in Computer Science, Engineering or similar.

• At least 7 years of experience in applied AI engineering, including at least 2 years in a technical leadership capacity.

• Demonstrated success delivering generative AI products based on large language models.

• Expertise in creating agentic workflows that enable autonomous AI functions.

• Previous experience in early-stage startups or building products from the ground up.

Benefits

• Salary: $200,000 – $250,000

• Equity.

• Comprehensive health, dental and vision insurance.

• Retirement benefits.

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