Senior Data Scientist: Gen AI & Production ML (FW)

PTR Global; Fort Worth (TX); Hybrid; USD 140,000 - 190,000; Full time

Benefits offered by this job

Medical insurance

Dental andVision

Job summary

PTR Global is seeking a Sr Data Scientist AI/ML to build and deploy Gen AI applications in Fort Worth, TX. This contract role requires onsite presence Tue–Thu and remote Mondays and Fridays.

You will design, test, and deploy ML/Gen AI solutions, own data pipelines, and collaborate across data science, data engineering, and product teams to accelerate delivery of production-ready AI capabilities.

Qualifications

• Master’s or PhD in Data Science, ML, CS, Math or Stats with 5+ years of experience.
• Proficient Python with production-grade coding, testing, and performance tuning.
• Hands-on Gen AI apps: prompting, classifiers, RAG, LLMs.
• Experience with ML/AI pipelines, productionization, deployment, orchestration and monitoring.
• Strong knowledge of statistical and ML techniques.
• Proficient in SQL and data handling.
• Experience with Azure ML and Databricks.
• Familiar with ML lifecycle tools: MLflow, CI/CD, model monitoring.
• Experience building and deploying ML models.

Responsibilities

• Design, test, and deploy Gen AI and ML applications.
• Own data prep and data pipeline development.
• Collaborate with data scientists, engineers, and product partners.
• Deliver scalable, production-ready AI solutions with measurable impact.
• Optimize, debug, and integrate ML models.

Skills

Python

Gen AI

SQL

Azure ML

Databricks

ML lifecycle

Productionize models

Communication

Data pipelines

Education

Master’s or PhD in a quantitative field

Tools

MLflow

CI/CD

Job description

PTR Global is seeking a Sr Data Scientist AI/ML to build and deploy Gen AI applications in Fort Worth, TX. This contract role requires onsite presence Tue–Thu and remote Mondays and Fridays.

You will design, test, and deploy ML/Gen AI solutions, own data pipelines, and collaborate across data science, data engineering, and product teams to accelerate delivery of production-ready AI capabilities.