Mid-level Machine Learning Engineer | Hybrid | Dallas, TX
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The role
Take machine learning models from prototype to production, building scalable ML infrastructure and reliable deployments.
Design and implement production-grade ML solutions for both batch and real-time streaming environments.
Collaborate with data scientists, engineers, and consultants to deliver robust, maintainable systems for client products.
Develop and maintain CI/CD pipelines for ML workflows and deployments; build APIs and services to integrate models into products.
Experience with cloud platforms (AWS, GCP, or Azure) and data processing tools (Pandas, NumPy, Spark) is preferred.
Bachelor’s or Master’s degree in computer science, engineering, or a related field; focus on scalable ML infrastructure, monitoring, and production readiness.
Design and implement production-grade ML solutions for both batch and real-time streaming environments.
Collaborate with data scientists, engineers, and consultants to deliver robust, maintainable systems for client products.
Develop and maintain CI/CD pipelines for ML workflows and deployments; build APIs and services to integrate models into products.
Experience with cloud platforms (AWS, GCP, or Azure) and data processing tools (Pandas, NumPy, Spark) is preferred.
Bachelor’s or Master’s degree in computer science, engineering, or a related field; focus on scalable ML infrastructure, monitoring, and production readiness.
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