Mid-Level Machine Learning Engineer

Quick Facts

• Role: Mid-Level Machine Learning Engineer

• Work model: Hybrid (3 days/week onsite)

• Location: Irving, TX

• Contract length: 12 months

• Pay rate: $65/hr

• Employment note: Candidates must be willing to work on W2

Description

Own end-to-end machine learning solutions from concept through production to improve customer experience and increase revenue. You will develop traditional machine learning, recommendation models, and personalization systems, bringing them into production. Strong SQL and statistical learning fundamentals are essential.

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 to prepare, explore, and analyze data for modeling

Requirements

• 2+ years of developer experience in high-tech products/services plus 2+ years hands-on experience delivering ML/NLP/AI (or an MS in Computer Science with ML experience)

• Hands-on experience with traditional machine learning, recommendation models, and personalization

• Solid SQL skills

• Mathematical understanding of supervised/unsupervised learning, reinforcement learning, and graphical models

• Production experience with deep learning architectures/models (e.g., ResNets, RNN/CNN, Transformers, transfer learning)

• Proficiency in Python, Scala, or C++

• Fluency in one or more ML frameworks: TensorFlow, PyTorch, Caffe, or Theano

• Familiarity with key computer vision concepts

• Degree in Computer Science or Math strongly valued

Benefits

• 12-month contract

• Hybrid schedule: 3 days/week onsite

• $65/hr pay rate