Job Description

Job Summary:

Our client is seeking a Software Engineer Machine Learning to join their team! This position is located in Richardson, Texas.

Duties:

• Design, develop, and fine-tune Large Language Models and other deep learning models to meet project requirements
• Create and implement multi-agent AI systems and workflows that can perform complex, autonomous tasks
• Deploy, manage, and optimize AI/ML workloads, ensuring efficient utilization of resources
• Utilize Python and Jupyter Notebooks for rapid prototyping, data analysis, model training, and experimentation
• Develop and maintain robust data and model pipelines, troubleshooting performance bottlenecks related to compute, memory, and networking in a containerized environment
• Work closely with data scientists, engineers, and project managers to translate business needs into technical solutions and deliver on project milestones

Desired Skills/Experience:

• Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience
• Proven, hands-on experience developing and working with AI systems, including Large Language Models and agentic AI
• Advanced proficiency in Python and extensive experience using its AI/ML ecosystem
• Demonstrable expertise with Jupyter Notebooks for data science and model development workflows
• Direct, hands-on experience deploying and managing containerized applications that utilize NVIDIA GPUs on a Red Hat OpenShift platform
• Strong understanding of containerization technologies and CI/CD principles
• Excellent problem-solving skills with the ability to diagnose and resolve complex technical issues in high-performance computing environments

Benefits:

• Medical, Dental, & Vision Insurance Plans
• Employee-Owned Profit Sharing (ESOP)
• 401K offered

The approximate pay range for this position is between $52.00 and $75.00 . Please note that the pay range provided is a good faith estimate. Final compensation may vary based on factors including but not limited to background, knowledge, skills, and location. We comply with local wage minimums.

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