Position Details:
Client: Financial
Job Title: Data Scientist
Duration: 6 Months (Possible Extension or Conversion)
Location: Charlotte, NC
Pay Range: $65-$70/hr.

About the Role:

• The role is likely focused on optimizing and deploying AI models on GPU clusters for large-scale deep learning and generative AI applications.
• This position may involve working with cloud platforms and distributed computing frameworks to enhance AI/ML workloads.

Responsibilities:

1. AI Model Optimization and Deployment:

   • Optimize and deploy AI models on GPU clusters.
   • Leverage parallel processing capabilities for deep learning and generative AI applications.

2. Multi-GPU Training and Distributed Computing:

   • Utilize frameworks such as TensorFlow Distributed, PyTorch Distributed, and Horovod.
   • Accelerate AI/ML workloads using distributed computing techniques.

3. Infrastructure Management:

   • Configure and manage NVIDIA GPUs.
   • Work with GCP, including TPUs and GPU instances.

4. API Development and Cloud Architecture:

   • Develop APIs and design cloud-native architectures.
   • Implement generative AI frameworks like LLaMA, Mistral, etc.

5. Utilizing Frameworks and Tools:

   • Work with FastAPI, Unicorn, Swagger, Apache Spark (PySpark), Kubernetes, and Django.
   • Set up and manage Apache Kafka for real-time data streaming.

Required Qualifications:

• Proficiency in Python.
• Experience with Apache Spark (PySpark) for distributed data processing.
• Familiarity with Kubernetes for container orchestration.
• Knowledge of Django for web application development.
• Experience with FastAPI, Unicorn, and Swagger for API development.
• Understanding of generative AI frameworks, such as LLaMA and Mistral.
• Experience with distributed computing frameworks like TensorFlow
• Distributed, PyTorch Distributed, and Horovod
• Experience with configuring and managing NVIDIA GPUs.
• Familiarity with GCP, including TPUs and GPU instances
• Experience with Apache Kafka for real-time data streaming.