Job Descriptions: - 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: - 5+ 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 (SE4) - 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)
- 3+ year experience with cloud computing platforms
- 3+ year experience with GPU Cluster
- 2+ year experience with Large Language Model
- 2+ year experience with Apache Iceberg
- Apache Airflow
- Apache Spark
- Django
- Kubernetes & Docker Containerization
- Python/Machine Learning
EEO: "Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of - Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans."