Python Developer Position Available In Mecklenburg, North Carolina
Tallo's Job Summary: Join TrekRecruit LLC in Charlotte, NC as a Senior Python Engineer / AIML-LLM Engineer for a 12+ month hybrid work opportunity. The role entails developing, testing, and deploying Python applications in cloud environments, focusing on GCP and OpenShift. Responsibilities include managing LLM models on GPU clusters, collaborating with teams, and ensuring cloud security and performance.
Job Description
Python Developer TrekRecruit LLC Charlotte, NC 28202 • Hybrid work
Job Title:
Python Developer Location:
Charlotte, NC (Hybrid)
Duration:
12+
Months Job Overview:
We are seeking a highly skilled Senior Python Engineer / AIML-LLM Engineer to join our innovative AI team. The ideal candidate will possess deep experience in Python development, cloud-native architectures, and deploying Generative AI models at scale. You will work on cutting-edge projects involving LLMs such as LLaMA, Mistral, and other foundation models, contributing to real-time data streaming, model optimization, and scalable AI infrastructure.
Candidates need to have:
Proven experience as a Senior Python Engineer/Developer, with a strong portfolio of relevant projects. Extensive experience working with Google Cloud Platform (GCP) is required; Azure experience is not applicable. Hands-on experience with GPU clusters, particularly in deploying AI models. Proficiency in containerization technologies such as OpenShift and Kubernetes. Understanding of data processing frameworks, specifically PySpark and Airflow. Familiarity with object storage solutions (S3 and Google Cloud Storage). Excellent problem-solving skills and ability to work independently as well as part of a team.
Job Responsibilities:
Develop, test, and deploy Python applications in cloud environments, specifically GCP and OpenShift. Design and implement solutions for deploying and managing LLM models on GPU clusters. Collaborate with cross-functional teams to integrate systems and optimize cloud resources. Work with containerization technologies such as Kubernetes for effective deployment and scaling of applications. Utilize Python, PySpark, and Airflow for data processing and orchestration. Manage object storage solutions like S3 and Google Cloud Storage. Ensure best practices for cloud security, performance, and cost management. Solve complex technical challenges and contribute to the architecture of scalable and reliable systems
