What are the responsibilities and job description for the Python Developer position at Tektend llc?
Job Details
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
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