Technology

Machine Learning (W2) Fort Worth, Texas 7+ Years

BridgeNexus Technologies IncFort Worth, TX🇺🇸United StatesPosted Oct 8, 2026

Quick Overview

Seniority

Mid Senior

Work mode

On Site

Location

Fort Worth, TX, United States

Posted

Yesterday

SQLMLflowMachine LearningTableauAzureDatabricksPower BIPython

Job Description

Role: Machine Learning Engineer (Python, Databricks)

Location: Fort Worth, TX
Experience: 7 to 8 years
Duration: Contract (no conversion to FTE)
Interview Process: 3-4 rounds; initial rounds virtual, later rounds in person

Any Visa is fine apart from H1 and USC

About the Role

We are seeking a Machine Learning Engineer to embed within a centralized ML team supporting 7 business units. You will support the Customer Intelligence CBI productionization initiative, taking ownership of moving ML pipelines from prototype to production through code refactoring, system optimization, and close collaboration with data scientists, data engineers, and product partners.

Key Responsibilities

Productionize ML pipelines, including deployment, orchestration, monitoring, and optimization
Refactor and improve existing codebases for performance, scalability, and maintainability
Write production-grade Python with strong modularization, testing, and performance tuning
Debug, optimize, and integrate ML systems with surrounding platforms
Perform data extraction, cleaning, and analysis, applying feature engineering to improve model quality
Collaborate with data scientists, data engineers, and product partners to accelerate delivery of scalable ML solutions
Communicate technical work clearly to stakeholders at all levels of the organization

Must-Have Qualifications

MS or PhD in Data Science, Computer Science, Statistics, Applied Mathematics, or a related quantitative field
7+ years of experience in a quantitative discipline (Data Science, ML Engineering, etc.)
Strong Python expertise (production-grade coding, modularization, testing, performance tuning)
Hands-on experience developing and productionizing ML pipelines (deployment, orchestration, monitoring, optimization)
Depth of knowledge in statistical and machine learning techniques
Practical experience with data extraction, cleaning, and analysis

Preferred Qualifications

Databricks / Spark-based ML pipelines
Proficiency in SQL and large-scale datasets
ML lifecycle tools (MLflow, CI/CD, model monitoring)
Cloud platforms and parallel processing for scaling models (Databricks, Azure)
Data visualization (Tableau, Power BI)
8+ years in a technical professional environment
Airline industry domain knowledge
Prior consulting experience

Ideal Candidate

Proven track record taking ML models from prototype to production using Python and Databricks
Strong code optimization, debugging, and system integration skills
Understands the end-to-end ML lifecycle, including deployment and monitoring
Comfortable improving existing codebases, not only building new models
Clear communicator and effective collaborator

Soft Skills

Strong verbal and written communication at all levels
Aptitude for logical analysis, problem identification, and problem solving
Ability to view data from different angles for effective feature engineering
Works well on diverse teams with varied skillsets

Team Environment

You will join a centralized ML team of Senior to Principal-level Data Scientists. The culture is collaborative, supportive, and high-performing, with a strong focus on quality, innovation, scalability, and measurable revenue impact.