Overview
Remote
On Site
Full Time
Skills
Artificial Intelligence
Real-time
Software Engineering
Analytics
Trading
Collaboration
Mentorship
Python
C++
Java
Docker
Database
Continuous Integration
Continuous Delivery
Workflow
Software Design
Finance
Google Cloud Platform
Google Cloud
Kubernetes
Apache Spark
Machine Learning (ML)
Job Details
Machine Learning Engineer - Fintech & Real-Time Systems
A cutting-edge fintech firm is looking for a Machine Learning Engineer to help build intelligent systems that drive real-time trading and analytics. This role blends software engineering with applied ML in a fast-paced, data-rich environment.
What You'll Do:
What You Bring:
Bonus Skills:
Perks:
A cutting-edge fintech firm is looking for a Machine Learning Engineer to help build intelligent systems that drive real-time trading and analytics. This role blends software engineering with applied ML in a fast-paced, data-rich environment.
What You'll Do:
- Design and maintain scalable infrastructure for ML and analytics.
- Deploy models into production trading environments.
- Optimize data pipelines and system performance.
- Collaborate across teams and mentor junior engineers.
What You Bring:
- 4+ years of experience in Python and a compiled language (e.g., C++, Java).
- Strong foundation in distributed systems, Docker, databases, and CI/CD.
- Solid understanding of ML workflows and software design.
Bonus Skills:
- Experience in financial markets or low-latency systems.
- Familiarity with Google Cloud Platform, Kubernetes, Spark, and ML frameworks.
Perks:
- Competitive compensation
- Fully covered health benefits
- Remote-first culture
- Collaborative, high-impact teamthe
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.