Machine Learning Engineer

CEI; West Chester (Chester County); Hybrid; USD 130,000 - 150,000; Full time

Job summary

CEI is seeking an AI Engineer to design, build, and deploy ML solutions for an AI-driven operations platform. The role focuses on automating tasks, expanding platform integrations, and improving system reliability across production environments.

The ideal candidate will have 3–5 years in ML/Data/Software Engineering, strong Python skills, and experience with data pipelines, Kafka, Spark, Docker, and cloud technologies. Hybrid work in West Chester, PA with salary range $130k–$150k.

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.

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 or related field

Tools

Kafka

Spark

Docker

Job description

West Chester , PA Contract On‑Site Sep 24, 2026

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.

AI Engineer
West Chester, PA 19380 (hybrid)
Pay: $130,000-150,000