Machine Learning Engineer

Finaloop reconciles all financials in real-time, providing e-commerce and DTC brands flawless books, optimized tax returns, and actionable insights 24/7 with 100% accuracy. Our cutting-edge solution blends automated data flows, AI, agents, and human expertise to deliver real-time bookkeeping services. We empower our customers to make data-driven decisions by transforming their financial data and needs into actionable insights and recommendations.

The data group in Finaloop plays a significant part in Finaloop’s core activity and leads some of the most impactful features in the company. From transaction classification, entity matching, agentic empowerment and flows, data reconciliation, and validation (an integral part of the accounting world) with many more features to come.

We are right in the middle of our product, which means a lot of responsibility, high-quality features, and interesting challenges, but mainly, a lot of impact.

Responsibilities

• Join Finaloop’s core activities, contributing to impactful data development and insights retrieval projects.

• Collaborate closely with domain experts and developers to enhance data-driven features.

• Own and manage data features throughout their lifecycle, including design, implementation, monitoring, and iteration.

• Define and track key performance indicators (KPIs) for the team and the company, promoting a data-driven approach.

Requirements

• 6+ years of HO experience working with Machine Learning models and algorithms

• Proficient in Python (data-oriented)

• Experience designing, developing, and maintaining scalable and efficient data pipelines & models.

• Proficient in SQL

• Strong collaborative and team-oriented mindset.

• Nice to have: Familiarity with Spark, Streamlit, DBT, agents platforms, airflow

• Bonus - proven track record of customer-facing impact