Indotronix International Corporation
Software Engineer - Machine Learning - IV
Indotronix International Corporation, Texas City, Texas, us, 77592
Software Engineer - Machine Learning - IV | , Texas, United States
Description:
*****Location: Richardson TX only *****Working Model: Hybrid- Tues and Thur in the office ****Max Bill rate: $120.00
We are looking for a highly skilled AI Systems Contractor with deep expertise in designing, building, and optimizing advanced AI solutions. The ideal candidate will have a strong background in Large Language Models (LLMs), agentic AI workflows, and hands-on experience managing high-performance computing environments. A key requirement for this role is proven experience leveraging NVIDIA GPUs within a Red Hat OpenShift platform to accelerate AI/ML workloads. You will be responsible for the entire lifecycle of AI model development, from prototyping in Jupyter to deploying scalable solutions. Key Responsibilities Develop & Fine-Tune AI Models: Design, develop, and fine-tune Large Language Models (LLMs) and other deep learning models to meet project requirements. Build Agentic AI Systems: Create and implement multi-agent AI systems and workflows that can perform complex, autonomous tasks. GPU Optimization on OpenShift: Deploy, manage, and optimize AI/ML workloads on our OpenShift cluster, ensuring efficient utilization of NVIDIA GPU resources. Python & Jupyter Development: Utilize Python and Jupyter Notebooks for rapid prototyping, data analysis, model training, and experimentation. Pipeline & Infrastructure Management: Develop and maintain robust data and model pipelines, troubleshooting performance bottlenecks related to compute, memory, and networking in a containerized environment. Collaboration: Work closely with data scientists, engineers, and project managers to translate business needs into technical solutions and deliver on project milestones. Required Qualifications & Experience Proven, hands-on experience developing and working with AI systems, including Large Language Models (LLMs) and agentic AI. Advanced proficiency in Python and extensive experience using its AI/ML ecosystem (e.g., PyTorch, TensorFlow, LangChain, Hugging Face). 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 (Docker, Kubernetes) and CI/CD principles. Excellent problem-solving skills with the ability to diagnose and resolve complex technical issues in high-performance computing environments. Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
*****Location: Richardson TX only *****Working Model: Hybrid- Tues and Thur in the office ****Max Bill rate: $120.00
We are looking for a highly skilled AI Systems Contractor with deep expertise in designing, building, and optimizing advanced AI solutions. The ideal candidate will have a strong background in Large Language Models (LLMs), agentic AI workflows, and hands-on experience managing high-performance computing environments. A key requirement for this role is proven experience leveraging NVIDIA GPUs within a Red Hat OpenShift platform to accelerate AI/ML workloads. You will be responsible for the entire lifecycle of AI model development, from prototyping in Jupyter to deploying scalable solutions. Key Responsibilities Develop & Fine-Tune AI Models: Design, develop, and fine-tune Large Language Models (LLMs) and other deep learning models to meet project requirements. Build Agentic AI Systems: Create and implement multi-agent AI systems and workflows that can perform complex, autonomous tasks. GPU Optimization on OpenShift: Deploy, manage, and optimize AI/ML workloads on our OpenShift cluster, ensuring efficient utilization of NVIDIA GPU resources. Python & Jupyter Development: Utilize Python and Jupyter Notebooks for rapid prototyping, data analysis, model training, and experimentation. Pipeline & Infrastructure Management: Develop and maintain robust data and model pipelines, troubleshooting performance bottlenecks related to compute, memory, and networking in a containerized environment. Collaboration: Work closely with data scientists, engineers, and project managers to translate business needs into technical solutions and deliver on project milestones. Required Qualifications & Experience Proven, hands-on experience developing and working with AI systems, including Large Language Models (LLMs) and agentic AI. Advanced proficiency in Python and extensive experience using its AI/ML ecosystem (e.g., PyTorch, TensorFlow, LangChain, Hugging Face). 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 (Docker, Kubernetes) and CI/CD principles. Excellent problem-solving skills with the ability to diagnose and resolve complex technical issues in high-performance computing environments. Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience.