Python Developer Job at TrekRecruit LLC, Charlotte, NC

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  • TrekRecruit LLC
  • Charlotte, NC

Job Description

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

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