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-HireAbout 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 DoDesign, develop, and deploy machine learning models in a production environmentWork closely with data scientists and engineers to build scalable ML pipelinesLeverage large datasets to solve real-world business problems (forecasting, personalization, optimization, etc.)Collaborate with cross-functional teams including data, product, and engineeringEnsure model performance, monitoring, and continuous improvementRequired Qualifications3–5 years of experience in machine learning, data science, or related fieldStrong experience with at least one of the following: Databricks, Azure ML, or DataikuProficiency in Python and common ML frameworks (scikit-learn, TensorFlow, PyTorch, etc.)Experience with data pipelines and cloud-based environmentsSolid understanding of statistics, algorithms, and model evaluationPreferred QualificationsExperience in retail, e-commerce, or convenience store environmentsExposure to MLOps and model deployment best practicesFamiliarity with big data technologies (Spark, distributed systems)Why Apply?Opportunity to work on high-impact ML solutions in a fast-paced environmentClear path to full-time conversionCollaborative, innovation-driven cultureWork Authorization RequirementsCandidates must be authorized to work in the United States without current or future sponsorshipThis role is not open to C2C, visa sponsorship, or third-party arrangements