RAG ML Engineer | Cloud-Native, Scalable Systems, Growth

Egreenservices; Pierre (SD); On-site; USD 56,000 - 82,000; Full time

Benefits offered by this job

Mentorship program

Benefits

Flexible schedule

Job summary

Entertainment Partners Inc. in Pierre, SD is seeking a mid-level Machine Learning Engineer who can turn RAG into reliable, scalable solutions.

You will work on on-site teams to design and optimize data pipelines, apply feature engineering, and build fault-tolerant distributed systems using Python and NumPy. This role offers a base salary of $56,000 to $82,000, with mentorship to advance toward lead engineering.

Qualifications

• 4 years of ML engineering experience.
• Experience with RAG and data pipelines.
• Strong Python and SQL skills.
• Experience migrating on-prem to cloud.
• Architect fault-tolerant distributed systems.

Responsibilities

• Stitch RAG events into the Leadership pipeline feeding the company's technology reports.
• Identify bottlenecks and propose architectural improvements.
• Support migration of on-premise services to cloud-native architecture.
• Architect fault-tolerant distributed systems leveraging Feature Engineering and Python.
• Keep the NumPy build pipeline green so Pierre deploys never wait on a red light.

Skills

RAG expertise

Python

SQL

Time management

Bias toward action

Tools

NumPy build pipeline

Job description

Entertainment Partners Inc. in Pierre, SD is seeking a mid-level Machine Learning Engineer who can turn RAG into reliable, scalable solutions.

You will work on on-site teams to design and optimize data pipelines, apply feature engineering, and build fault-tolerant distributed systems using Python and NumPy. This role offers a base salary of $56,000 to $82,000, with mentorship to advance toward lead engineering.