Machine Learning Engineer - Contract to Hire
On Site - Dallas, TX
Title: Machine Learning Engineer (Level II)
Location: Dallas, TX (On-Site, 5 days/week)
Employment Type: Contract-to-Hire
About the Role
We are partnering with a leading organization in the retail and convenience industry to identify a Machine Learning Engineer who is passionate about building and deploying scalable AI/ML solutions. This is a hands-on role focused on delivering data-driven insights and production-grade models that directly impact business operations.
What You’ll Do
- Design, develop, and deploy machine learning models in a production environment
- Work closely with data scientists and engineers to build scalable ML pipelines
- Leverage large datasets to solve real-world business problems (forecasting, personalization, optimization, etc.)
- Collaborate with cross-functional teams including data, product, and engineering
- Ensure model performance, monitoring, and continuous improvement
Required Qualifications
- 3–5 years of experience in machine learning, data science, or related field
- Strong experience with at least one of the following: Databricks, Azure ML, or Dataiku
- Proficiency in Python and common ML frameworks (scikit-learn, TensorFlow, PyTorch, etc.)
- Experience with data pipelines and cloud-based environments
- Solid understanding of statistics, algorithms, and model evaluation
Preferred Qualifications
- Experience in retail, e-commerce, or convenience store environments
- Exposure to MLOps and model deployment best practices
- Familiarity with big data technologies (Spark, distributed systems)
Why Apply?
- Opportunity to work on high-impact ML solutions in a fast-paced environment
- Clear path to full-time conversion
- Collaborative, innovation-driven culture
Work Authorization Requirements
- Candidates must be authorized to work in the United States without current or future sponsorship
- This role is not open to C2C, visa sponsorship, or third-party arrangements