Machine Learning Engineer (Mid)

Peterson Technology Partners; Irving (TX); Híbrido; USD 90.000 - 103.000; Jornada completa

Descripción de la vacante

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.

Formación

• 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).

Responsabilidades

• 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.

Conocimientos

Python

Scala

C++

NLP

ML concepts

Educación

MS in Computer Science

Mathematics background

Herramientas

TensorFlow

PyTorch

Caffe

Theano

Databricks

Descripción del empleo

Location: Irving, TX (Hybrid, 3 days/week onsite) | Contract

Overview

Our client is seeking a Machine Learning Engineer to build and deploy ML solutions that improve customer experience and increase revenue. You will own solutions from concept to implementation, with a focus on traditional machine learning, recommendation models and personalization.

Responsibilities

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

Required Qualifications

• 2+ years of experience as a developer for high-tech products or services, plus 2+ years of hands‑on experience delivering products or solutions using machine learning, natural language processing or other AI (computer vision, mathematical optimization); OR an MS in Computer Science with some machine learning experience.
• Hands‑on experience with traditional machine learning, recommendation models and personalization.
• Mathematical understanding of statistical learning algorithms (supervised/unsupervised learning, reinforcement learning, graphical models).
• Experience with deep learning architectures and models (ResNets, RNN/CNN, Transformers, transfer learning) in a production environment.
• Proficiency in Python, Scala or C++.
• Fluency in one or more ML frameworks such as TensorFlow, PyTorch, Caffe or Theano.
• Familiarity with key computer vision concepts.
• Degree in Computer Science or Math strongly valued.

Preferred Qualifications

• Feature engineering and core statistical techniques.
• Deploying ML workloads on major cloud platforms; Databricks preferred.
• LLM-based solutions and vector databases.
• Database, API and backend development.

Pay rate: $65/hr. This is a 12 months contract position, Hybrid (3 days/week onsite) in Irving, TX.

About Peterson Technology Partners

Peterson Technology Partners (PTP) is an Equal Opportunity Employer committed to creating a transparent, inclusive, and human-centered hiring experience.

For more than 28 years, PTP has operated as one of the top IT staffing and recruiting firms in the USA—built on trust, long-term partnerships, and technical excellence.

Based in the Chicago suburb of Park Ridge, IL, our team of more than 500 employees and consultants is dedicated to:

• Helping every client make the best hiring decisions possible
• Matching professionals with the right IT jobs and career opportunities

As part of that commitment, we believe in providing clear information about how our hiring technologies work and how your data is used. The following section outlines our AI-assisted interview process and your rights as a candidate.

AI-Assisted Interview Experience (Pete & Gabi – Rebecca)

To provide a consistent, fair, and flexible experience for all candidates, we use AI-assisted tools to support parts of the interview process. This includes our proprietary AI platform Pete & Gabi, which includes AI recruiter Rebecca.

AI supports parts of the process but does not make hiring decisions. Hiring decisions are made by people. Candidates may request a non-AI interview and ask questions about how their data is used, request available interview transcripts or recordings, or request deletion of AI-recorded interviews.