Machine Learning Engineer (Mid)

Machine Learning Engineer (Mid) 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. Solid SQL skills. 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. Docker/Kubernetes. Database, API and backend development.

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