Highlights
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. 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.
Numbers & Facts
| Location | Aurora, IL |
| Industry | Computer/IT Services |
| Company Size | 500 to 999 employees |
| Year Founded | 1990 |
| Website | http://q1tech.com/ |
Description
Job Title: AI/ML developer
SAN ANTONIO,TX
ROLE_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.
ESSENTIAL_SKILLS
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
EXPERIENCE_RANGE_IN_REQUIRED_SKILLS
7+
Role Descriptions:
Essential Skills: 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.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
Desirable Skills:
Keyword:
Skills: Digital : Machine Learning~Digital : Artificial Intelligence(AI)
Experience Required: 8-10
SAN ANTONIO,TX
ROLE_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.
ESSENTIAL_SKILLS
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
EXPERIENCE_RANGE_IN_REQUIRED_SKILLS
7+
Role Descriptions:
Essential Skills: 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.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
Desirable Skills:
Keyword:
Skills: Digital : Machine Learning~Digital : Artificial Intelligence(AI)
Experience Required: 8-10
About Company
Q1 consists of experienced and recognized experts providing the capability to respond to market demand in order to provide professional services for our clients including Enterprise software implementations, application integration and technical / functional support.
Q1 has steadily grown into a Quality IT services and solutions organization with the average experience of our team being over 10 years. We have continuously met or exceeded client expectations by delivering professional services and project implementations on time and under budget to help clients truly recognize return on investment.
