Why This Role Stands Out
This hybrid Machine Learning Engineer role offers a fantastic opportunity to contribute to an innovative AI-powered SRE platform, fostering significant career growth and skill development in a reputable company. If you thrive on building and optimizing machine learning solutions and enjoy collaborating with dynamic teams, this position is perfect for you to make a real impact. Apply today to join this exciting project!
Quick Overview
Job Description
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
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Implement, refine, and validate machine learning algorithms for production applications and products.
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Develop and maintain end-to-end data pipelines, including:
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Data ingestion
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Data validation
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Data cleansing
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Data monitoring
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Train, evaluate, and deploy machine learning models into production environments.
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Monitor model performance and ensure ongoing accuracy and reliability.
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Support proof-of-concept (POC) development and research initiatives for future AI/ML capabilities.
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Create and maintain technical documentation, including:
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Technical requirements
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Evaluation plans
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Confluence documentation
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White papers
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Presentations
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Test results and reports
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Perform testing, validation, case studies, and solution evaluations.
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Collaborate with engineering and operations teams to support OrbitIQ platform enhancements and integrations.
Required Qualifications
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Bachelor's degree in Computer Science, Computer Engineering, Mathematics, or a related technical field (or equivalent industry experience).
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1-3 years of professional experience in machine learning, AI, data science, or related engineering roles.
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Experience with:
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Machine Learning and Deep Learning
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Data Mining
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Statistical Analysis
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Model deployment and monitoring
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Strong programming skills in one or more of the following:
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Python
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Java
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Scala
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Experience building and managing data pipelines.
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Familiarity with cloud-native and big data technologies, including:
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Kafka
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Spark
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Docker
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Preferred Qualifications
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Exposure to AI agents, automation platforms, or SRE-related tooling.
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Experience supporting production AI/ML applications.
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Familiarity with cloud platforms and containerized deployments.
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Strong analytical, troubleshooting, and documentation skills.
#INDGEN
#ZR
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