Faster chat, better deals — Get the App

Machine Learning Engineer [Mid-Level]

Indeed

Company

Job typeFull-time
Workplace typeRemote
Experience level1 to 2 years
Education levelBachelor's Degree

Description

**OUR WAY OF BEING AND DOING** The **Appmax** team consists of hands-on people who place grit and collaboration as top priorities. Every day, we strive to help digital entrepreneurs sell more, more efficiently, and more easily. We draw inspiration from our customers and exist to serve\-them and provide tools that will enhance and maximize their results. If you also want to join this journey with us, apply now and become part of the team! The **Data Science** team at Appmax transforms data into decisions and products. We are responsible for building the models, features, and metrics that support Risk, Fraud, Credit, and Product initiatives—and ensuring all of this runs reliably in production. Your mission will be to **ensure that the data and pipelines feeding models and analyses are robust, scalable, and well-structured**, working closely with the Data Science team and, when needed, collaborating with Data Engineering. For this challenge, we seek someone with a strong foundation in data engineering, business acumen, and curiosity to deeply understand the problem before writing code. **So, are you ready to build your future with us?** **Your responsibilities will include:** * Developing and maintaining data pipelines that feed machine learning models in production, within risk, fraud, and credit contexts. * Building and evolving ML features with a focus on quality, traceability, and reusability across teams. * Supporting data science analyses and models by working cross-functionally when required—not merely as an executor, but as a solution partner. * Optimizing existing jobs and transformations to ensure performance and reliability. **You’ll be a great fit if you have:** * Strong Python skills for data engineering and data manipulation. * Experience with PySpark and distributed processing at scale. * Hands-on experience with Airflow or other pipeline orchestration tools. * Experience in cloud environments (AWS) and Databricks. * Advanced SQL: complex joins, window functions, query optimization. * Familiarity with Git and best practices for version control. **You’ll stand out if you have:** * Experience in fintech, payments, or risk/fraud domains. * Knowledge of APIs and microservices. * Experience applying ML (Scikit\-learn, feature engineering, model validation). **At appmax, our Maxters enjoy:** All necessary equipment and resources to work onsite, hybrid, or remotely A stipend for expenses for those working hybrid or remotely Flexfood—so you don’t need to choose between meal or food allowance Health and dental insurance Pet health insurance ️‍ ️ Wellhub Avus Starbem Pharmacy discount program Transportation voucher ❤️‍ Life insurance Upmaxter—a program supporting your studies An environment that fosters and encourages development and high performance—with monthly performance check-ins, regular 1:1 meetings, continuous feedback routines, PDI tracking, and much more...

Some content was automatically translated

Posted by

João Silva

Indeed · HR

Location

João Silva

Indeed · HR

Machine Learning Engineer [Mid-Level] job by Indeed in 2026 | ok.com