Data Scientist/AI Engineer

<div>We are seeking a hands-on <strong>Data Scientist / AI Engineer</strong> to build machine learning models and AI-powered solutions for business-critical use cases. This role combines the end-to-end modeling lifecycle—from data extraction, feature engineering, and model evaluation to retraining and real-time deployment—with the design and development of production-ready LLM applications, including RAG systems and multi-agent architectures.

The ideal candidate can diagnose model performance issues, select the right approach for each problem, and lead initiatives from research and scope definition through delivery, collaborating with stakeholders and engineering teams across the US and India.</div><div><br></div><div><span style="color: rgb(0, 0, 0);"><strong>What we'd like to see in a candidate:</strong><br style="box-sizing: inherit; color: rgb(29, 28, 29); font-family: Slack-Lato, Slack-Fractions, appleLogo, sans-serif; font-size: 15px; font-style: normal; font-variant-ligatures: common-ligatures; font-variant-caps: normal; font-weight: 400; letter-spacing: normal; orphans: 2; text-align: left; text-indent: 0px; text-transform: none; widows: 2; word-spacing: 0px; white-space: normal; background-color: rgb(255, 255, 255); text-decoration-style: initial; text-decoration-color: initial;"></span></div><ul><li>Strong Python and SQL, with solid hands-on use of the ML ecosystem (pandas, scikit-learn, XGBoost, LightGBM or similar).</li><li>Proven experience taking ML models to production, including real-time or low-latency inference.</li><li>Experience handling model drift and iterating on models already in production.</li><li>Hands-on experience with tuning and feature selection techniques (e.g.

Optuna, backward selection).</li><li>Strong experience building LLM-powered solutions, including agents, multi-agent architectures, RAG systems, and API integrations.</li><li>Experience leading a project or MVP end to end, including requirements (PRD) and stakeholder alignment.</li><li>Advanced/fluent English, comfortable presenting technical work to US clients.</li></ul><div><span style="color: rgb(0, 0, 0);"><br></span></div><div><span style="color: rgb(0, 0, 0);"><strong>Nice to haves:</strong></span></div><ul><li>Familiarity with enterprise platforms such as Oracle, SAP or Workday, and their data models.<br>Experience in financial services, credit risk or fraud, or in large consumer/B2B companies.<br>Experience building dashboards and communicating results to business audiences.<br><br><br></li></ul><div>Ambush is a people first company where talented, thoughtful individuals come together to build meaningful products and lasting partnerships.

We believe the best work happens when people feel supported, trusted and empowered to bring their full abilities to the table.<br>Since 2015, because of our people first and long term mindset, we have grown into a partner relied on by some of the best companies in the world. We combine strong engineering, design and strategy with a growing strength in AI to help our clients see what is next and achieve bigger outcomes.<br>At the heart of everything we do is our team.

We collaborate, take risks, lift each other up and take pride in doing work the right way, not settling for a quick makeshift solution. If you join Ambush, you join a group of people who want you to succeed and who show up for each other every day.<br>We believe in and expect real teamwork, a constant drive to be better, and delivering meaningful long term outcomes that we can be proud of together.</div>