ai engineer - Pune, India - Nexus Hire

Description

Key Qualifications:
Proficiency in Python programming. Expertisein Langchain for advanced API interactions and largescale dataprocessing. Indepth knowledge of HuggingFaces transformer models and libraries. Experienceindeveloping and deploying applications withFastAPI. Specialized understanding ofGenerative Large Language Models (LLMs) andtheirapplications.


Responsibilities:
Generative AI/ML &LLM

Expertise:
EmployLangchain for sophisticated API interactions and to process largedatasets. Interpret flowcharts to understandand design AIdriven workflows. IntegrateHugging Face and other generative AI models into variousapplications. Apply concepts of Chain ofThought (COT) Tree of Thought (TOT) and ReAct (Response &Act)agents in generativetasks. Understand and implement machinelearning and generative modeling techniquesUtilize different prompting strategies to effectively communicatewith generative AI models. Develop causalinference models to understand data relationships and generatepredictiveinsights.
Leverage LLMs for analyzing log data code review correction andgeneration. Extract insights from structureddata sources like Excel BigQuery and SQL usinggenerativemodels.
Integrate LLMs into API functions for enhanced interactivity andautomation in tasks suchasformfilling. Exposemodels like LLama2 as APIs for broader applicationuse. Ensure the security and integrity ofprompts and input data in generative AIapplications.


PythonDevelopment:
Establish connections todiverse data sources using Python. Constructrobust APIs with Python and FastAPI. Utilizedata processing libraries such as NLTK and Pandas for preprocessingtasks. Develop graph and clustering modelsto understand complex data relationships.
Package code for deployment ensuring it is optimized for productionenvironments. GoogleCloud Platform(GCP)

Expertise:
Manage GCP services including BigQuery Cloud Functions Vertex AIModel Garden andGCSbuckets. Deployand orchestrate containerized applications with Docker and GoogleKubernetesEngine(GKE). Designimplement and maintain data workflows with Airflow pipelines andScheduler. Establish monitoring and alertingsystems to maintain high availability andperformance. Administer IAM roles andpermissions to ensure secure cloudoperations.
data,ml,api,cloud