AI Engineer

CEI; Philadelphia (Philadelphia County); Hybrid; USD 100,000 - 150,000; Full time

Job summary

CEI in Philadelphia, PA is seeking an AI Engineer to support the development of an AI-driven operations platform focused on automating operational tasks and improving system reliability.

You will design, build, and deploy machine learning solutions, expand platform integrations, and contribute to the platform's ongoing architecture and roadmap. This hybrid role combines hands-on coding in Python with data pipelines and cloud technologies to drive AI-powered automation.

Qualifications

• Bachelor's degree in Computer Science, Computer Engineering, Mathematics, or a related field.
• 3-5 years of experience in Machine Learning Engineering, Data Engineering, or Software Engineering.
• Strong programming experience with Python.
• Experience developing, deploying, and monitoring machine learning models in production.
• Hands-on experience with machine learning, deep learning, statistical analysis, or data mining.
• Experience building scalable data pipelines and processing frameworks.
• Knowledge of Kafka, Spark, Docker, and modern cloud technologies.
• Strong software engineering and problem-solving skills.

Responsibilities

• Design, train, validate, deploy, and monitor machine learning models.
• Build and maintain data pipelines for ingestion, validation, cleansing, and monitoring.
• Develop proof-of-concept solutions and evaluate emerging AI/ML technologies.
• Contribute to platform architecture, automation capabilities, and system integrations.
• Collaborate with engineering, operations, and product teams to deliver solutions.
• Create technical documentation, test plans, recommendations, and reports.
• Support testing, analysis, and continuous improvement initiatives.

Skills

Python

Kafka

Spark

Docker

AI/Automation Platforms

Software Engineering

Education

Bachelor's degree in Computer Science/Engineering/Math

Master's degree (preferred)

Tools

Kafka

Spark

Docker

Job description

Philadelphia , PA Contract On-Site Oct 15, 2026

AI Engineer
Philadelphia, PA 19103 (hybrid)
Pay: $100,000-$150,000
Overview

We are seeking a AI Engineer to support the development of an AI-driven operations platform focused on automating operational tasks and improving system reliability. This role will help design, build, and deploy machine learning solutions, expand platform integrations, and contribute to the platform's ongoing architecture and roadmap.

Key Responsibilities

• Design, train, validate, deploy, and monitor machine learning models.
• Build and maintain data pipelines for ingestion, validation, cleansing, and monitoring.
• Develop proof-of-concept solutions and evaluate emerging AI/ML technologies.
• Contribute to platform architecture, automation capabilities, and system integrations.
• Collaborate with engineering, operations, and product teams to deliver solutions.
• Create technical documentation, test plans, recommendations, and reports.
• Support testing, analysis, and continuous improvement initiatives.

Required Qualifications

• Bachelor's degree in Computer Science, Computer Engineering, Mathematics, or a related field.
• 3-5 years of experience in Machine Learning Engineering, Data Engineering, or Software Engineering.
• Strong programming experience with Python.
• Experience developing, deploying, and monitoring machine learning models in production.
• Hands-on experience with machine learning, deep learning, statistical analysis, or data mining.
• Experience building scalable data pipelines and processing frameworks.
• Knowledge of Kafka, Spark, Docker, and modern cloud technologies.
• Strong software engineering and problem-solving skills.

Preferred Qualifications

• Master's degree in a related technical field.
• Experience with AI agents, automation platforms, or intelligent workflow solutions.
• Background supporting Site Reliability Engineering (SRE), observability, or operations automation initiatives.
• Experience with Generative AI, LLMs, or agentic AI frameworks.
• Familiarity with AWS, Databricks, and related cloud platforms.

Top Skills

• Python
• Kafka, Spark, Docker
• AI/Automation Platforms
• Software Engineering

Ideal Candidate

The ideal candidate is a strong Python developer with experience building and deploying machine learning solutions at scale. They possess a solid software engineering foundation, understand data pipelines and cloud technologies, and can contribute to architectural decisions while helping drive AI-powered automation initiatives.