Python Developer Position Available In Mecklenburg, North Carolina
Tallo's Job Summary: We are hiring a Senior Python Developer for a 12+ month contract in Charlotte, NC. The role involves working on cutting-edge AI projects, deploying Generative AI models, and optimizing scalable AI infrastructure. Candidates must have experience with Python, Google Cloud Platform, GPU clusters, Kubernetes, and data processing frameworks. Join our innovative AI team and contribute to real-time data streaming and model optimization.
Job Description
Python Developer
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 (Google Cloud Platform) 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 Google Cloud Platform 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
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
Report this job
Dice Id:
91166177
Position Id:
2025-520
