Python Developer (W2 Role)
Job Title: Python Developer with OpenShift
Duration: 12+ Months with possible extension/conversion
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
Job Title: Python Developer with OpenShift
Duration: 12+ Months with possible extension/conversion
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
