Senior ML Engineer: Production Models & Pipelines

Gtatelecom

West Chester (Chester County)

On-site

USD 110,000 - 170,000

Full time

7 days ago
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Job summary

Gtatelecom is seeking a Machine Learning Engineer III to work across algorithm development, data pipeline design, model training, validation, deployment, and monitoring. You’ll help move machine learning projects from early concepts into production‑ready solutions and deliver impact across real products and applications.

This role suits an experienced engineer who enjoys depth and collaboration: design proofs‑of‑concepts, evaluate new approaches, and partner with teams beyond the immediate group

Qualifications

  • Bachelor’s degree in CS, CE, Math, or related field, or equivalent industry experience.
  • 5–8 years of related experience after completing a bachelor’s degree, or a master’s degree with 2–3 years of related experience
  • Experience implementing, refining, and validating machine learning or deep learning algorithms
  • Strong programming and software development skills
  • Familiarity with Python, Java, Scala, or similar programming languages
  • Experience designing data pipelines for ingestion, validation, cleaning, and monitoring

Responsibilities

  • Implement, refine, and validate machine learning algorithms for products and applications
  • Design and develop data pipelines for data ingestion, validation, cleaning, and monitoring
  • Train models, evaluate accuracy, and deploy validated models into production
  • Design proofs of concept solutions and contribute to future product development studies
  • Test and evaluate solutions through case studies, technical reviews, and performance reporting
  • Collaborate with cross‑functional teams to address technical issues and support project delivery

Skills

ML/DL algorithms
Data pipelines
Python/Java/Scala
Model deployment
Cross-functional collaboration

Education

Bachelor's degree in CS/CE/Math
Equivalent industry experience

Tools

Kafka
Spark
Docker

Job description

Gtatelecom is seeking a Machine Learning Engineer III to work across algorithm development, data pipeline design, model training, validation, deployment, and monitoring. You’ll help move machine learning projects from early concepts into production‑ready solutions and deliver impact across real products and applications.

This role suits an experienced engineer who enjoys depth and collaboration: design proofs‑of‑concepts, evaluate new approaches, and partner with teams beyond the immediate group

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