KellyMitchell Group
Software Engineer Machine Learning
KellyMitchell Group, Richardson, Texas, United States, 75080
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.
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.