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# USA_Developer

- **Company:** Varite Inc
- **Location:** San Antonio, TX, United States
- **Experience:** Expert
- **Salary:** $94,536.0 - $102,419.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Airflow, Amazon Web Services, Computing Platforms, Microsoft Azure, Continuous Integration, Python (Programming Language), Machine Learning, Tensorflow, Software Engineering, SQL Databases, Management of Software Versions, Google Cloud, Pytorch, Apache Spark, Scikit Learn, Kubernetes, Machine Learning Operations, Data Pipelines, Docker
- **Published:** November 3, 2026
- **Apply:** https://www.thejobnetwork.com/job/eb52926b-3d97-4e33-8b96-a3e9f5b2778d/usadeveloper

## About the Role

Prompt emgineering, Forward-Deployed Engineer, Python, R, C .Mathematics: Linear algebra, calculus, statistics.Data Handling: SQL, data preprocessing.Frameworks: TensorFlow, PyTorch, Scikit-Learn.M LOps: Model deployment, cloud platforms.

Desirable skills:
MLOps tools (Docker, Kubernetes, MLflow)Data pipeline development (Spark, SQL, Airflow)System design and architectureCloud computing platforms (AWS, GCP, Azure)Cross-functional communication and storytelling

Skills: Digital : Machine Learning~Digital : Artificial Intelligence(AI)

Experience Required: 8-10 years

Skills:CategoryNameRequiredImportanceExperienceSkillCategoryTest1_MNDigital : Machine LearningYes1>7 years

## Description

AI/ML roles focus on designing, building, and deploying intelligent systems that learn from data to solve complex problems.
Machine Learning Engineers sit between data science and software engineering, writing scalable code to deploy, optimize, and maintain ML models in production.
MLOps Engineers manage the underlying infrastructure, building continuous integration and deployment (CI/CD) pipelines to automate model monitoring, data versioning, and system scaling.