s: In this contingent resource assignment, you may: Consult on complex initiatives with broad impact and large-scale planning for Software Engineering. Review and analyze complex multi-faceted, larger scale or longer-term Software Engineering challenges that require in-depth evaluation of multiple factors including intangibles or unprecedented factors. Contribute to the resolution of complex and multi-faceted situations requiring solid understanding of the function, policies, procedures, and compliance requirements that meet deliverables. Strategically collaborate and consult with client personnel.

Required Qualifications: + years of Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work or consulting experience, training, military experience, education.

We are looking for the following skill sets:

AIML/LLM engineer with below skills (SE) API development, cloud-native architectures, and Generative AI frameworks like LLaMA, Mistral etc. FastAPI, Unicorn, and Swagger Python, Apache Spark (PySpark), Kubernetes, Django Apache Kafka for real-time data streaming, and distributed computing frameworks. Experience in optimizing and deploying AI models on GPU clusters, leveraging parallel processing capabilities for large-scale deep learning and generative AI applications. Multi-GPU training and distributed computing frameworks such as TensorFlow Distributed, PyTorch Distributed, and Horovod to accelerate AI/ML workloads. configuring and managing NVIDIA GPU and GCP (TPUs, GPU instances) + year experience with cloud computing platforms + year experience with GPU Cluster + year experience with Large Language Model + year experience with Apache Iceberg Apache Airflow Apache Spark Django Kubernetes & Docker Containerization Python/Machine Learning

EEO:

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