Position: Machine Learning EngineerLocation: Plano, TX (Remote flexibility available)Experience Required: 10+ yearsRate: $65/hr (Contract) About the Role: We are currently seeking an experienced Machine Learning Engineer to join our agile team, where you'll play a key role in designing and deploying scalable ML solutions. Your expertise will drive the development of innovative machine learning applications that directly impact business outcomes. Working closely with cross-functional teams, you'll use advanced ML techniques and tools to solve real-world problems. This role also provides opportunities to guide and mentor fellow engineers while continuously expanding your own technical skillset. What You’ll Be Doing: Enhance and iterate on ML models used in high-impact personalization and recommendation systems. Optimize model performance by evaluating existing algorithms, fine-tuning model blending strategies, and increasing inference efficiency. Analyze offline and online evaluation metrics, identifying correlations and performance indicators. Use A/B testing and subgroup analysis to uncover actionable insights that drive key performance improvements. Improve model interpretability and support cross-functional stakeholders with explainable ML outcomes. Collaborate with data scientists, backend engineers, and other ML engineers across multiple teams. What You Bring:Required Skills: 3+ years of hands-on experience in machine learning or data science (excluding R&D or research group experience). Strong programming proficiency with Python or Scala (5+ years). Expertise in ML frameworks such as TensorFlow and PySpark (5+ years). At least 1 year of experience working with Databricks, MLflow, or Seldon. Preferred Skills: Demonstrated success in building and launching ML products at scale. Solid background in recommendation systems and algorithm development. Familiarity with modern MLOps tools: Snowflake, Kubeflow, Tecton, Jenkins. Experience with cloud platforms like AWS and using feature stores or ML monitoring tools. Ability to analyze massive datasets and turn them into meaningful insights. Knowledge of A/B testing methodologies, causality analysis, and ML experimentation best practices. Advanced degree (Master’s or Ph.D.) in Computer Science, Data Science, or a related field. Why You’ll Love This Role: This is more than a job—it's a growth opportunity. As a part of our ML/AI practice, you’ll receive ongoing training, mentorship, and access to new tools and technologies. We’re committed to your development and will support you in pursuing certifications and learning paths to keep you at the forefront of innovation. Job Types: Full-time, Contract Pay: From $65.00 per hour Application Question(s): Are you a direct candidate, or would you be referring us to your employer? Education: Master's (Required) Experience: TensorFlow and PySpark: 5 years (Required) Databricks: 1 year (Required) machine learning: 5 years (Required) Python: 5 years (Required) Work Location: Remote