Machine Learning Engineer

Machine Learning Engineer – Contract to Hire On Site – Dallas, TX Title: Senior Machine Learning Engineer 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 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 Do • Lead the design, development, and deployment of machine learning models in production environments • Architect and optimize scalable ML pipelines and infrastructure • Work cross-functionally with data scientists, engineers, and business stakeholders • Translate complex business problems into actionable AI/ML solutions • Mentor junior engineers and promote best practices in model development and MLOps • Oversee model performance, monitoring, and continuous improvement Required Qualifications • 8+ years of experience in machine learning, AI, or data science • Strong hands-on experience with at least one of the following: Databricks, Azure ML, or Dataiku • Advanced proficiency in Python and common ML frameworks (scikit-learn, TensorFlow, PyTorch, etc.) • Proven experience deploying and maintaining ML models in production • Experience building data pipelines and working in cloud-based environments • Strong understanding of algorithms, statistics, and model evaluation techniques Preferred Qualifications • Experience in retail, e-commerce, or convenience store environments • Prior experience leading ML projects or mentoring engineers • Strong knowledge of MLOps, model governance, and scalable architecture • Familiarity with big data technologies (Spark, distributed systems) Why Apply? • High-impact role with strong ownership over ML initiatives • Opportunity to influence AI/ML strategy within a growing organization • Clear path to full-time conversion • Fast-paced, collaborative, and innovation-driven environment 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