Work on the systems small businesses run on.

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Job duties

• Assist in design, development, and deployment of automated machine learning workflows to support model training, evaluation, and deployment;
• Assist with the building of workflows and automations in the Rewst platform;
• Build and maintain data pipelines for ingestion, preprocessing, and feature engineering to support continuous learning systems;
• Collaborate with team members to optimize model performance and automate retraining processes;
• Implement and support monitoring and logging processes to track system performance and reliability;
• Support automated testing, validation, and deployment processes to ensure reliability and scalability of AI solutions;
• Maintain version control and reproducibility of models, datasets, and code using Git and MLOps best practices;
• Troubleshoot automation workflows and assist with root cause analysis and system improvements;
• Ensure adherence to data governance, security, privacy, and ethical AI standards;
• Document workflows, configurations, and technical processes for maintainability and audits;
• Participate in internal and client-related development projects as assigned

Job requirements

• Bachelor’s degree in Computer Science, Artificial Intelligence, Data Engineering, or a related technical field;
• 12 months experience in IT support or related technical role (F/T, P/T or aggregate)
• Candidate must pass drug and background test before hire.
• Proficiency in Python, or Java or, #C or R
• Proficiency in scripting tools, i.e. Jinja
• Familiarity with front in Typescript frameworks, i.e. React
• Experience with machine learning libraries, i.e. TensorFlow, PyTorch, or Scikit-learn
• Familiarity with workflow orchestration and automation tools, i.e. , Airflow, Kubeflow, Jenkins
• Familiarity with automation platforms, i.e. Rewst Automation or similar platform
• Basic understanding of cloud platforms, i.e. AWS, Azure, or Google Cloud
• Knowledge of data pipelines, ETL processes, APIs, and data automation concepts
• Experience with containers and deployment tools, i.e. Docker
• Familiarity with Git and CI/CD pipelines

To start the application process, send your resume to

Gregory Pritchard: at 1500 Stubbs Ave Monroe, LA, 71201 or info@tnetsystems.com

All inquiries and applicants should contact: Gregory Pritchard: 1500 Stubbs Ave Monroe, LA, 71201 or info@tnetsystems.com or call 318-450-4277