AI Analyst

Skills

• Strong proficiency in Python, OOPS and Data Structures.
• Good understanding of Machine Learning, Deep Learning and Generative AI concepts.
• Experience with Large Language Models (LLMs), Prompt Engineering, RAG
• Knowledge of Data Preprocessing, Feature Engineering, Model Training
• Familiarity with REST APIs, SQL, NoSQL
• Vector Databases
• Experience with AWS, Microsoft Azure, Google Cloud Platform (GCP)
• Knowledge of Git, Docker, CI/CD and MLOps practices.
• Understanding of Natural Language Processing (NLP) and Predictive Analytics
• Analytical, Problem-Solving and Critical Thinking skills.
• Excellent Communication and Collaboration abilities.
• Passion for Emerging AI Technologies and continuous learning.

Responsibilities Overview

• Design and develop AI, Machine Learning and Generative AI solutions for business applications.
• Build, train, fine-tune and optimize Machine Learning Models for production environments.
• Develop intelligent applications using LLMs, Prompt Engineering, RAG and AI Agents.
• Analyze Business Requirements and translate them into AI-driven solutions.
• Prepare, clean, and transform Structured and Unstructured Data for model development.
• Integrate AI Models with enterprise applications, REST APIs and cloud platforms.
• Monitor, evaluate and improve Model Performance for accuracy and scalability.
• Implement Responsible AI, Security and Compliance best practices.
• Collaborate with Cross-Functional Teams to deliver AI-powered solutions.
• Research and adopt Emerging AI Technologies to drive innovation.
• Create and maintain Technical Documentation for AI models and deployment processes.

Disclaimer : This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.