ML Engineer: Personalization & Recommendations (Hybrid)

Ptechpartners; Irving (TX); Hybrid; USD 90,000 - 103,000; Full time

Job summary

Peterson Technology Partners is seeking a Machine Learning Engineer to design, build and deploy ML solutions that improve customer experience and revenue. You will own solutions from concept to production, focusing on traditional ML, recommendation models and personalization.

Candidates should have hands-on ML experience, strong Python or Scala/C++, and proficiency with ML frameworks such as TensorFlow or PyTorch. This 12-month contract offers a hybrid schedule in Irving, TX, paying $65/hr.

Qualifications

• 2+ years as a developer for high-tech products or services, plus 2+ years delivering ML solutions.
• Hands-on experience with traditional ML, recommendation and personalization.
• Mathematical understanding of statistical learning algorithms (supervised/unsupervised/reinforcement learning).

Responsibilities

• Design, build and deploy machine learning solutions from concept through production.
• Develop traditional ML, recommendation and personalization models to improve customer experience.
• Use SQL skills to prepare, explore and analyze data for modeling.

Skills

Python

Scala

C++

NLP

ML concepts

Education

MS in Computer Science

Mathematics background

Tools

TensorFlow

PyTorch

Caffe

Theano

Databricks

Job description

Peterson Technology Partners is seeking a Machine Learning Engineer to design, build and deploy ML solutions that improve customer experience and revenue. You will own solutions from concept to production, focusing on traditional ML, recommendation models and personalization.

Candidates should have hands-on ML experience, strong Python or Scala/C++, and proficiency with ML frameworks such as TensorFlow or PyTorch. This 12-month contract offers a hybrid schedule in Irving, TX, paying $65/hr.