Highlights
Strong expertise in Microsoft Azure AI & Data services: Azure Machine Learning, Azure Synapse, Azure Data Factory, Azure Data Lake, Azure Functions. Architect end-to-end AI/ML solutions using Azure services (Azure ML, Synapse, Data Lake, etc.) and Databricks.
Numbers & Facts
| Location | Aurora, IL |
| Industry | Computer/IT Services |
| Company Size | 500 to 999 employees |
| Year Founded | 1990 |
| Website | http://q1tech.com/ |
Description
Must Have Technical/Functional Skills
Strong expertise in Microsoft Azure AI & Data services: Azure Machine Learning, Azure Synapse, Azure Data Factory, Azure Data Lake, Azure Functions.
Hands-on experience with Databricks: Spark, Delta Lake, MLflow, notebooks, and job orchestration.
Proficiency in Python, SQL, and ML frameworks like TensorFlow, PyTorch, Scikit-learn.
Experience with MLOps tools and practices: CI/CD, model versioning, monitoring, and retraining.
Deep understanding of data architecture, feature stores, and real-time inference.
Familiarity with containerization (Docker, Kubernetes) and API development for model serving.
Excellent communication and stakeholder management skills.
Azure certifications (e.g., Azure AI Engineer Associate, Azure Solutions Architect Expert) are a plus.
Roles & Responsibilities
Architect end-to-end AI/ML solutions using Azure services (Azure ML, Synapse, Data Lake, etc.) and Databricks.
Lead technical design sessions and guide teams on best practices for scalable and secure AI solutions.
Collaborate with data scientists, engineers, and business stakeholders to translate business problems into AI solutions.
Design and implement MLOps pipelines for model training, deployment, monitoring, and governance.
Optimize data pipelines and feature engineering workflows using Spark and Delta Lake on Databricks.
Ensure compliance with data privacy, security, and governance standards.
Evaluate and integrate emerging AI technologies and frameworks.
Provide technical leadership and mentorship to junior architects and engineers.
Strong expertise in Microsoft Azure AI & Data services: Azure Machine Learning, Azure Synapse, Azure Data Factory, Azure Data Lake, Azure Functions.
Hands-on experience with Databricks: Spark, Delta Lake, MLflow, notebooks, and job orchestration.
Proficiency in Python, SQL, and ML frameworks like TensorFlow, PyTorch, Scikit-learn.
Experience with MLOps tools and practices: CI/CD, model versioning, monitoring, and retraining.
Deep understanding of data architecture, feature stores, and real-time inference.
Familiarity with containerization (Docker, Kubernetes) and API development for model serving.
Excellent communication and stakeholder management skills.
Azure certifications (e.g., Azure AI Engineer Associate, Azure Solutions Architect Expert) are a plus.
Roles & Responsibilities
Architect end-to-end AI/ML solutions using Azure services (Azure ML, Synapse, Data Lake, etc.) and Databricks.
Lead technical design sessions and guide teams on best practices for scalable and secure AI solutions.
Collaborate with data scientists, engineers, and business stakeholders to translate business problems into AI solutions.
Design and implement MLOps pipelines for model training, deployment, monitoring, and governance.
Optimize data pipelines and feature engineering workflows using Spark and Delta Lake on Databricks.
Ensure compliance with data privacy, security, and governance standards.
Evaluate and integrate emerging AI technologies and frameworks.
Provide technical leadership and mentorship to junior architects and engineers.
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.
