Machine Learning Engineer
HangSalary not specified
- Full Time
- Senior (5 to 8 years)
$60,000 – $90,000Compensation
Junior (1 to 2 years), Mid-level (3 to 4 years)Experience Level
Full TimeJob Type
UnknownVisa
Artificial Intelligence, AI & Machine LearningIndustries
Requirements
Candidates should possess a Master’s degree in Computer Science, Mathematics, or a related field, along with 3+ years of experience as a Machine Learning Engineer or Software Engineer with a focus on Machine Learning/AI. Strong programming skills in SQL and Python are required, alongside hands-on experience working with Large Language Models (LLMs). Familiarity with ML Ops tooling such as Docker and Kubernetes, and cloud platforms like AWS or GCP is a plus.
Responsibilities
As a Machine Learning Engineer at Spendesk, you will be responsible for designing, implementing, and maintaining robust ML systems, APIs, and pipelines in production environments. You will also build scalable infrastructure for training, deploying, and monitoring machine learning models, including LLMs and GenAI solutions, while collaborating with product and engineering teams to define requirements and deliver impactful features. Furthermore, you will research, experiment with, and engineer LLMs and GenAI solutions to improve OCR capabilities and unlock innovative client features, continuously evaluate and adopt new tools and technologies, and monitor the performance and reliability of AI models in production.
Skills
Python
SQL
Large Language Models (LLMs)
Docker
Kubernetes
AWS
GCP
Machine Learning
ML Ops
GenAI
OCR
Spendesk
Financial technology for expense management
About Spendesk
Spendesk offers a financial technology platform that helps businesses manage their spending more effectively. The platform provides finance teams with a clear overview of all company expenses, including both virtual and physical transactions. It allows users to track expenses, validate them, and maintain a traceable workflow, which helps automate the expense management process while ensuring control over spending. Spendesk is designed to be user-friendly, with a high satisfaction rate among its clients, who find it easy to transition to the platform. Unlike many competitors, Spendesk captures over 95% of receipts on time, giving businesses real-time visibility into their expenditures. The company operates on a subscription model with no hidden fees, making it accessible for businesses of various sizes. The main goal of Spendesk is to streamline financial processes for companies, enabling them to make faster and smarter spending decisions.
Paris, FranceHeadquarters
2016Year Founded
$279.6MTotal Funding
SERIES_CCompany Stage
Fintech, Financial ServicesIndustries
201-500Employees