Artificial Intelligence Off Campus Drive 2024 by Nexus

Last Updated on February 10, 2024 by GeeksGod

AI Recruitment Drive 2024

Artificial Intelligence Off Campus Drive 2024 by Nexus: Manage GCP services including BigQuery, Cloud Functions, Vertex AI, Model Garden, and GCS. Deploy and orchestrate containerized applications with Docker and Google Kubernetes Engine

Key Qualifications: Artificial Intelligence Off Campus Drive 2024

• Proficiency in Python programming.
• Expertise in Langchain for advanced API interactions and large-scale data processing.
• In-depth knowledge of Hugging Face’s transformer models and libraries. – Experience in
• developing and deploying applications with FastAPI.
• Specialized understanding of Generative Large Language Models (LLMs) and their
  applications. Responsibilities: Generative AI/ML & LLM

Expertise:

• Employ Langchain for sophisticated API interactions and to process large datasets.
• Interpret flowcharts to understand and design AI-driven workflows.
• Integrate Hugging Face and other generative AI models into various applications.
• Apply concepts of Chain of Thought (COT), Tree of Thought (TOT), and ReAct (Response & Act) agents in generative tasks.
• Understand and implement machine learning and generative modeling techniques!
• Utilize different prompting strategies to effectively communicate with generative AI models.
• Develop causal inference models to understand data relationships and generate predictive
• Leverage LLMs for analyzing log data, code review, correction, and generation.
• Extract insights from structured data sources like Excel, BigQuery, and SQL using generative

models: Artificial Intelligence Off Campus Drive 2024

• Integrate LLMs into API functions for enhanced interactivity and automation in tasks such as form-filling.
• Expose models like LLama2 as APIs for broader application use.
• Ensure the security and integrity of prompts and input data in generative AI applications.

Python Development: Artificial Intelligence Off Campus Drive 2024

• Establish connections to diverse data sources using Python.
• Construct robust APIs with Python and FastAPI.
• Utilize data processing libraries such as NLTK and Pandas for pre-processing tasks.
• Develop graph and clustering models to understand complex data relationships.
• Package code for deployment, ensuring it is optimized for production environments. Google

Expertise:

• Manage GCP services including BigQuery, Cloud Functions, Vertex AI, Model Garden, and GCS

buckets.

• Deploy and orchestrate containerized applications with Docker and Google Kubernetes Engine
• Design, implement, and maintain data workflows with Airflow pipelines and Scheduler.
• Establish monitoring and alerting systems to maintain high availability and performance.
• Administer IAM roles and permissions to ensure secure cloud operations.

Skills: data, ml,API,cloud

Apply now: Click Here (Artificial Intelligence Off Campus Drive 2024 by Nexus)