Senior Machine Learning Engineer

Job Title: Senior Machine Learning Engineer Work Location & Reporting Address: Fort Worth, TX 76155 (Onsite-Hybrid. Local candidates only) Contract duration: 6 Months Interview Mode- In-person Interview Must Have Skills:

• Master's/PhD degree with 3 years of experience in quantitative discipline (e.g., Data Science, Machine Learning Engineer, Computer Science, Applied Mathematics, Statistics, etc.)
• Experience with Python programming language
• Practical experience with data extraction, cleaning, and analysis
• Depth of knowledge in statistical and machine learning techniques

• 8 years of experience in a technical professional environment, in addition to the minimum requirements
• Experience with SQL and data visualization (Tableau, PowerBI)
• Practical experience designing, building and deploying machine learning models
• Experience in using cloud platforms and parallel processing to scale model development/ deployment (Databricks, Azure)
• Domain knowledge in the airline industry
• Experience working in a consulting role

• MS or PhD in Data Science, Computer Science, Statistics, or related field
• Strong Python expertise (production-grade coding, modularization, testing, performance tuning)
• Hands-on experience with Machine Learning pipeline development and productionization (model deployment, orchestration, monitoring, and optimization)

• Experience with Databricks / Spark-based ML pipelines
• Proficiency in SQL and working with large-scale datasets
• Experience with ML lifecycle tools (e.g., MLflow, CI/CD, model monitoring)

• Has proven experience taking ML models from prototype to production with Python and Databricks.
• Demonstrates strong skills in code optimization, debugging, and system integration.
• Understands the end-to-end ML lifecycle, including deployment and monitoring.
• Is comfortable working with existing codebases and improving them, rather than only building new models.
• Clear communication and effective collaboration.

• Centralized Machine Learning team supporting 7 business units
• Team consists of Senior to Principal-level Data Scientists
• Collaborative, supportive, and high-performing culture
• Strong focus on quality, innovation, scalability, and measurable revenue impact

• The resource will embed within the centralized ML team and support the Customer Intelligence CBI productionization initiative.
• Take ownership of productionizing ML pipelines, including code refactoring and system optimization
• Collaborate closely with data scientists, data engineers, and product partners
• Accelerate delivery of scalable, production-ready ML solutions

• Ability to effectively communicate both verbally and written with all levels within the organization
• Demonstrated motivation and aptitude for logical analysis, problem identification, and problem solving
• Ability to view data from different angles to employ feature engineering techniques to better represent models
• Ability to work on a diverse team with diverse skillsets