AI Intern

Soothsayer Analytics; Hyderabad; Sur place; INR 167 400 - 279 000; Plein temps

Résumé du poste

Soothsayer Analytics, based in Hyderabad, is seeking AI Interns to join their team. This internship offers an excellent learning opportunity for fresh graduates or early-career individuals to work on real-world AI applications, including machine learning projects. Interns will gain exposure to data preprocessing, model training, and GenAI experimentation while being mentored by experienced engineers. Applicants should be final year students in relevant fields. Flexible work arrangement may apply.

Qualifications

• Education requirement for final year Bachelor's or Master's students.
• 0–1 years of experience including academic projects or hackathons.

Responsabilités

• Explore ML and AI concepts including regression, classification, clustering, and deep learning.
• Experiment with LLMs and GenAI tools like LangChain.
• Assist in cleaning and preprocessing datasets.
• Write basic Python scripts for ML workflows.
• Participate in knowledge-sharing sessions.

Connaissances

ML Basics: Scikit-learn (classification, regression)

GenAI Exposure: Prompting, basic LLM usage

Version Control: Git basics

Formation

Bachelor’s (final year) or Master’s student in Computer Science, Data Science, AI, or related fields

Description du poste

Soothsayer Analytics is a global AI & Data Science consultancy headquartered in Detroit, with a thriving delivery center in Hyderabad. We design and deploy end-to-end custom Machine Learning & GenAI solutions—spanning predictive analytics, optimization, NLP, computer vision, and enterprise AI platforms—that help leading enterprises forecast, automate, and gain a competitive edge.

This internship offers fresh graduates and early-career talent a unique opportunity to learn real-world AI applications and work alongside experienced ML and AI engineers on high-impact projects.

Job Overview

We seek AI Interns who are passionate about AI and machine learning and eager to learn by contributing to applied projects. You will work under the mentorship of senior engineers and data scientists, gaining exposure to data preprocessing, model training, GenAI experimentation, and deployment workflows.

Key Responsibilities

• Explore ML and AI concepts including regression, classification, clustering, and deep learning.
• Experiment with LLMs and GenAI tools such as LangChain and basic RAG concepts.
• Research and prototype small AI and ML projects.
• Assist in cleaning and preprocessing structured and unstructured datasets.
• Support feature engineering and exploratory data analysis.
• Write basic Python scripts for ML workflows.
• Help in preparing notebooks, documenting experiments, and testing models.
• Work closely with mentors and teammates on applied AI tasks.
• Participate in knowledge-sharing sessions and internal hackathons.

Required Skills & Qualifications

• Education: Bachelor’s (final year) or Master’s student in Computer Science, Data Science, AI, or related fields.
• Experience: 0–1 years, including academic projects, personal GitHub work, or hackathons.
• ML Basics: Scikit-learn (classification, regression)
• GenAI Exposure: Prompting, basic LLM usage
• Version Control: Git basics