AI Engineer
Computer Enterprises, Inc.
Maple Glen, PA, United States
1 day ago
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Role details
Contract type
Contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
3 years minimum
Compensation
$100,000.0 - $150,000.0
Working hours
Regular working hours
Job source
Tech stack
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
+13 more
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
Job 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.
Requirements
- 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
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Prepare application
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