
Junior Data Engineer /data scientist– Python and SQL SynergisticIT
- $78,000–$127,000 Per Year
- Temporary
- Contractor
- Full-time
| Location | West Chester, PA |
Machine Learning Engineer I / AI Engineer
Location: West Chester, PA
Contract position
Pay: $55 per hour + optional medical, dental, vision, 401(k)
Project Overview
This position supports an agentic Site Reliability Engineering (SRE) platform that uses AI-powered agents to reduce manual, keyboard-driven operational work. Originally developed as an internal Slack-based operations assistant, this platform is undergoing architectural redesign, expanded system integrations, and backlog-driven enhancements. This role will help build, deploy, and optimize machine learning solutions that support the platform's ongoing evolution.
Key Responsibilities
Implement, refine, and validate machine learning algorithms for production applications and products.
Develop and maintain end-to-end data pipelines, including:
Data ingestion
Data validation
Data cleansing
Data monitoring
Train, evaluate, and deploy machine learning models into production environments.
Monitor model performance and ensure ongoing accuracy and reliability.
Support proof-of-concept (POC) development and research initiatives for future AI/ML capabilities.
Create and maintain technical documentation, including:
Technical requirements
Evaluation plans
Confluence documentation
White papers
Presentations
Test results and reports
Perform testing, validation, case studies, and solution evaluations.
Collaborate with engineering and operations teams to support OrbitIQ platform enhancements and integrations.
Required Qualifications
Bachelor's degree in Computer Science, Computer Engineering, Mathematics, or a related technical field (or equivalent industry experience).
1-3 years of professional experience in machine learning, AI, data science, or related engineering roles.
Experience with:
Machine Learning and Deep Learning
Data Mining
Statistical Analysis
Model deployment and monitoring
Strong programming skills in one or more of the following:
Python
Java
Scala
Experience building and managing data pipelines.
Familiarity with cloud-native and big data technologies, including:
Kafka
Spark
Docker
Preferred Qualifications
Exposure to AI agents, automation platforms, or SRE-related tooling.
Experience supporting production AI/ML applications.
Familiarity with cloud platforms and containerized deployments.
Strong analytical, troubleshooting, and documentation skills.
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