Nexus Hire
Location
Pune | India
Job description
Key Qualifications:
Proficiency in Python programming.
Expertise in Langchain for advanced API interactions and largescale data processing.
Indepth knowledge of Hugging Faces 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 AIdriven 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
insights.
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.
Integrate LLMs into API functions for enhanced interactivity and automation in tasks such as
formfilling.
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:
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 preprocessing tasks.
Develop graph and clustering models to understand complex data relationships.
Package code for deployment ensuring it is optimized for production environments. Google
Cloud Platform (GCP)
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
(GKE).
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.
data,ml,api,cloud
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