ML Engineering Lead

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🕒 April 21

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Saris AI

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2024

🤖 Artificial Intelligence

💳 Fintech

🤝 B2B

Artificial Intelligence • Fintech • B2B

Saris AI is a company that builds advanced multi-turn AI negotiation and workflow agents for banks, credit unions, and financial services firms to automate complex back-office and customer-facing processes. Their platform focuses on tasks like collections, settlements, AR/AP, loan and deposit servicing, and complex verifications, delivering measurable reductions in workflow cost and increases in output while integrating directly with existing systems and maintaining compliance (SOC2, PCI, FERPA, HIPAA, GDPR).

📋 Description

• Own and lead the ML/AI function end-to-end, setting technical direction and standards across the company • Architect and guide the development of multi-modal, agentic AI systems powering real-world workflows • Define and oversee evaluation frameworks, datasets, and performance metrics to continuously improve agent quality • Drive productionization of ML systems, ensuring reliability, scalability, and compliance in real-world environments • Build and mentor a high-performing ML team over time, setting best practices across modeling, experimentation, and deployment

🎯 Requirements

• 8+ years of experience in ML/AI engineering, including time as a technical lead or manager • Proven track record of leading ML initiatives end-to-end, from problem definition → production deployment • Deep experience with LLMs and/or agentic systems, ideally in real-world, customer-facing applications • Strong understanding of ML fundamentals (deep learning, transformers, model evaluation, tradeoffs) • Experience scaling ML systems in production, including monitoring, iteration, and reliability • Demonstrated ability to lead engineers, influence architecture decisions, and drive technical direction • Comfortable operating in early-stage, ambiguous environments with high ownership • Strong communication skills with the ability to translate complex ML concepts into clear decisions

🏖️ Benefits

• Competitive compensation with premium benefits and equity package