Machine Learning Engineer

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