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AI/ML & Agentic AI Intern

SciTech Patent Art
Hyderabad, Telangana

Quick apply

Job details

Internship

Qualifications

TensorFlow
Statistics
Image processing
Azure
Computer Science
PyTorch
Computer vision
Software deployment
Data structures
NumPy
Git
Google Cloud Platform
Build automation
Master's degree
Databases
SQL
Pandas
OS Kernels
AWS
Analysis skills
Database management
Docker
Bachelor's degree
Machine learning
Deep learning
SDKs
REST
Natural language processing
GitHub
APIs
Data science
AI
Python
Data Science

Full job description

SciTech Patent Art was founded to bridge a critical gap between the technical needs of R&D experts and the analytical demands of IP professionals. We recognized that solving complex patent issueswhether for prosecution, litigation, or innovationrequires meticulous analysis of thousands of patents and non-patent documents. Over two decades ago, we set out to tackle this challenge, blending deep technical expertise with innovative methodologies to deliver exceptional patent and non-patent search and analysis. Our mission has always been to empower clients with reliable, actionable insights that are efficient, accurate, and cost-effective.

AI/ML & Agentic AI Intern

About the Role

We are seeking a motivated and enthusiastic AI/ML & Agentic AI Intern to join our team. You will work on real-world Artificial Intelligence, Machine Learning, and Agentic AI projects, assisting with data analysis, model development, AI agent creation, testing, and deployment. This role offers an excellent opportunity to gain hands-on experience with cutting-edge AI technologies, Large Language Models (LLMs), Coding Agents, and industry best practices.

Key Responsibilities

Machine Learning & AI Development

Assist in developing, training, evaluating, and optimizing Machine Learning models.
Work with structured and unstructured datasets for analysis and model building.
Perform data cleaning, preprocessing, and feature engineering.
Support the implementation of AI solutions for real-world business challenges.
Research and experiment with Machine Learning algorithms, Generative AI, and Agentic AI techniques.

Agentic AI & LLM Development

Design, develop, and test AI Agents capable of reasoning, planning, and executing multi-step tasks.
Build AI workflows using Agentic AI frameworks and orchestration tools.
Develop AI-powered assistants using Large Language Models (LLMs).
Experiment with Retrieval-Augmented Generation (RAG), prompt engineering, function calling, tool usage, and multi-agent systems.
Evaluate and improve AI agent performance, reliability, and response quality.

Coding Agents & Automation

Work with AI Coding Assistants and Coding Agents to accelerate software development.
Build automation workflows using AI agents for software engineering and business processes.
Develop Python-based AI applications integrated with LLMs and AI APIs.
Collaborate with software teams to integrate AI agents into existing applications and workflows.

Data Analysis

Analyze large datasets to identify trends and actionable insights.
Create reports, dashboards, and visualizations.
Validate AI/ML model performance and recommend improvements.

Software Development

Develop and maintain Python-based AI/ML applications.
Assist in integrating Machine Learning models and AI agents into software systems.
Participate in testing, debugging, deployment, and documentation activities.
Collaborate using Git-based development workflows.

Required Qualifications

Currently pursuing or recently completed a Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Information Technology, or a related field.
Basic understanding of Machine Learning concepts and algorithms.
Proficient programming skills in Python.
Familiarity with libraries such as NumPy, Pandas, Scikit-learn, TensorFlow, or PyTorch.
Basic understanding of Large Language Models (LLMs) and Generative AI concepts.
Knowledge of data structures, algorithms, statistics, and probability.
Strong analytical and problem-solving skills.
Effective communication and teamwork abilities.
Passion for learning emerging AI technologies.

Preferred Skills

Hands-on experience with Agentic AI frameworks such as LangGraph, CrewAI, AutoGen, OpenAI Agents SDK, Semantic Kernel, or similar.
Experience using AI Coding Agents such as Claude Code, Cursor, GitHub Copilot, Windsurf, Cline, or similar developer tools.
Experience with Prompt Engineering, RAG, AI workflows, and tool/function calling.
Knowledge of Deep Learning, NLP, Computer Vision, or Generative AI.
Familiarity with vector databases (FAISS, ChromaDB, Pinecone, Weaviate, etc.).
Knowledge of SQL and database management.
Familiarity with cloud platforms such as AWS, Azure, or Google Cloud.
Experience with Git/GitHub.
Understanding of REST APIs, Docker, model deployment, and MLOps concepts.
Personal, academic, or open-source AI projects demonstrating practical AI/ML or Agentic AI development.

Quick apply

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AI/ML & Agentic AI Intern

About the Role

Key Responsibilities

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Agentic AI & LLM Development

Coding Agents & Automation

Data Analysis

Software Development

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