> Markdown version of [/jobs/ext/3779009-ai-engineer](https://www.wearedevelopers.com/jobs/ext/3779009-ai-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Engineer - **Company:** Computer Enterprises, Inc. - **Location:** Maple Glen, PA, United States - **Experience:** Experienced - **Salary:** $100,000.0 - $150,000.0 - **Contract:** Contract - **Skills:** Artificial Intelligence, Amazon Web Services, Computing Platforms, Cloud Computing, Computer Programming, Computer Engineering, Information Engineering, Data Mining, Python (Programming Language), Machine Learning, Automation of Marketing, Reliability Engineering, Software Engineering, Systems Integration, Large Language Models, Apache Spark, Deep Learning, Generative AI, Agentic-AI, Information Technology, Apache Kafka, Machine Learning Operations, Data Pipelines, Docker, Databricks - **Published:** October 16, 2026 - **Apply:** https://www.dice.com/job-detail/10c6108f-8803-4e63-bea7-7b1b905a75c8 ## About the Role * 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., * 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 * Machine Learning & Model Deployment * Data Engineering & Pipelines * Kafka, Spark, Docker * Cloud Technologies * 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. #ZR #INDGEN ## Description * 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.