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