Senior ML Engineer — Production-Grade Data Scientist

ZealHire Inc.; Fort Worth (TX); On-site; USD 120,000 - 180,000; Full time

Job summary

ZealHire Inc. is seeking a Senior Machine Learning Engineer/Data Scientist to advance ML models from prototype to production within a centralized ML team. You will optimize performance, refactor code, and build scalable solutions for customer intelligence initiatives in a production environment.

The role emphasizes strong Python skills, end-to-end ML lifecycle expertise, and deployment/monitoring of models in cloud or Databricks settings. On-site in Fort Worth, TX with a 6–12+ month contract.

Qualifications

• Master’s or PhD in Data Science, Computer Science, Statistics, Applied Mathematics, ML or related field.
• At least 3 years of relevant professional experience.
• Strong hands-on experience with Python programming.
• Experience writing modular, testable, production‑grade code.
• Practical experience with data extraction, cleaning, transformation, and analysis.
• Strong understanding of statistical and machine learning techniques.
• Hands-on experience developing and productionizing machine learning pipelines.
• 8+ years of experience in a technical professional environment.
• Experience with Databricks and Spark‑based ML pipelines.
• Experience deploying ML models to production environments.
• Experience with ML lifecycle tools such as MLflow, CI/CD pipelines, and model‑monitoring platforms.
• Experience with Azure or other cloud platforms.
• Experience with parallel processing and distributed computing.
• Experience creating dashboards or data visualizations using Tableau or Power BI.

Responsibilities

• Develop, refactor, test, and optimize production‑quality Python code for ML applications.
• Design, build, deploy, and maintain ML models and pipelines.
• Productionize ML workflows: deployment, orchestration, monitoring, optimization, and troubleshooting.
• Extract, clean, transform, and analyze large datasets to support BI initiatives.
• Apply statistical methods and feature engineering to improve model performance.
• Collaborate with data scientists, data engineers, product partners, and stakeholders to deliver scalable ML solutions.
• Improve existing codebases, pipelines, and system integrations for reliability and performance.
• Debug issues and tune performance across the ML lifecycle.
• Leverage cloud platforms and parallel‑processing tech to scale model development.
• Document solutions and communicate findings clearly to technical and non‑technical audiences.
• Support quality, scalability, and measurable business impact across the org.

Skills

Python programming

Production-grade code

ML lifecycle

Data extraction

Data cleaning

Data transformation

Statistical methods

ML pipelines

Cloud platforms

Education

Master's or PhD in Data Science/CS/Statistics

Tools

Databricks

Spark-based ML pipelines

MLflow

CI/CD pipelines

Model monitoring platforms

Tableau/Power BI

Azure or other cloud

Job description

ZealHire Inc. is seeking a Senior Machine Learning Engineer/Data Scientist to advance ML models from prototype to production within a centralized ML team. You will optimize performance, refactor code, and build scalable solutions for customer intelligence initiatives in a production environment.

The role emphasizes strong Python skills, end-to-end ML lifecycle expertise, and deployment/monitoring of models in cloud or Databricks settings. On-site in Fort Worth, TX with a 6–12+ month contract.