Machine Learning Engineer

Machine Learning Engineer – Contract to Hire On Site – Dallas, TXTitle: Senior Machine Learning Engineer Location: Dallas, TX (On-Site, 5 days/week) Employment Type: Contract-to-HireAbout the RoleWe are partnering with a leading organization in the retail and convenience industry to identify a Senior Machine Learning Engineer who will drive the development and deployment of scalable AI/ML solutions. This role is highly hands-on while also providing technical leadership, helping shape machine learning strategy and best practices across the organization.What You’ll DoLead the design, development, and deployment of machine learning models in production environmentsArchitect and optimize scalable ML pipelines and infrastructureWork cross-functionally with data scientists, engineers, and business stakeholdersTranslate complex business problems into actionable AI/ML solutionsMentor junior engineers and promote best practices in model development and MLOpsOversee model performance, monitoring, and continuous improvementRequired Qualifications8+ years of experience in machine learning, AI, or data scienceStrong hands-on experience with at least one of the following: Databricks, Azure ML, or DataikuAdvanced proficiency in Python and common ML frameworks (scikit-learn, TensorFlow, PyTorch, etc.)Proven experience deploying and maintaining ML models in productionExperience building data pipelines and working in cloud-based environmentsStrong understanding of algorithms, statistics, and model evaluation techniquesPreferred QualificationsExperience in retail, e-commerce, or convenience store environmentsPrior experience leading ML projects or mentoring engineersStrong knowledge of MLOps, model governance, and scalable architectureFamiliarity with big data technologies (Spark, distributed systems)Why Apply?High-impact role with strong ownership over ML initiativesOpportunity to influence AI/ML strategy within a growing organizationClear path to full-time conversionFast-paced, collaborative, and innovation-driven environmentWork 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