ML Engineer

Job Title - ML Engineer

Location - San Antonia, TX. - Onsite

Duration: 6+ Months

USC-EAD /TN only

Job Summary

• Strong hands-on programming experience in Python, SQL for data processing, model implementation, automation, and production-grade pipeline development.
• Solid understanding of machine learning concepts, model lifecycle, model artifacts, scoring logic, feature engineering, and model validation.
• Hands-on experience with OpenShift and Docker or similar enterprise data science platforms.
• Experience building and managing workflow orchestration using Apache Airflow, including DAG creation, scheduling, dependency management, monitoring, and troubleshooting.
• Strong SQL skills and experience working with enterprise data platforms such as Snowflake, Hadoop, Hive, or relational databases.
• Experience with GitLab, GitHub, or similar version control and CI/CD tools.
• Ability to understand model development code and convert it into scalable, maintainable, and production-ready implementation pipelines.
• Experience with batch model scoring, data extraction, feature generation, post-processing, and output delivery processes. Knowledge of testing practices including unit testing, integration testing, regression testing, and production validation.
• Strong documentation skills with the ability to create implementation guides, deployment notes, runbooks, and technical specifications.
• Good understanding of Agile delivery practices and ability to work within Scrum or Kanban execution models. Strong problem-solving, debugging, communication, and stakeholder collaboration skills.