Junior ML Engineer - Build & Deploy Real-World Models

NextGen | GTA: A Kelly Telecom Company; West Chester (Chester County); On-site; USD 85,000 - 125,000; Full time

Job summary

NextGen | GTA: A Kelly Telecom Company is seeking a Machine Learning Engineer I to turn algorithms into working products. You will build data pipelines, train models, and support deployments across the full development cycle using Python, Java, Scala, and cloud tools.

Early-career ML engineers will contribute to proof-of-concept projects, improve reliability of models in production, and document findings to support ongoing evaluation and scaling of ML solutions.

Qualifications

• 1-3 years of related experience after completing a bachelor's degree.
• Experience with machine learning, deep learning, data mining, or statistical analysis.
• Strong programming and software development skills.
• Familiarity with Python, Java, or Scala.
• Experience building or supporting data pipelines, including data ingestion, validation, cleaning, and monitoring.
• Bachelor's degree in Computer Science, Computer Engineering, Mathematics, or a related technical discipline—or equivalent industry experience

Responsibilities

• Implement, refine, and validate machine learning algorithms for products and applications.
• Build and maintain data pipelines for ingestion, validation, cleaning, and monitoring.
• Train machine learning models and evaluate their accuracy and performance.
• Deploy validated models into production and support ongoing monitoring.
• Contribute to proof-of-concept projects, case studies, testing, and technical evaluations.
• Research and prepare documentation, requirements, reports, presentations, and recommendations

Skills

Python

Java

Scala

Machine learning

Data pipelines

Education

Bachelor's degree in Computer Science or related field

Tools

Kafka

Spark

Docker

Cloud technologies

Job description

NextGen | GTA: A Kelly Telecom Company is seeking a Machine Learning Engineer I to turn algorithms into working products. You will build data pipelines, train models, and support deployments across the full development cycle using Python, Java, Scala, and cloud tools.

Early-career ML engineers will contribute to proof-of-concept projects, improve reliability of models in production, and document findings to support ongoing evaluation and scaling of ML solutions.