About Veloria Tech

Veloria Tech is a product-focused software company building AI-powered data platforms in the sports and analytics domain. We develop intelligent systems that process large volumes of live and historical data to generate real-time predictions, performance insights, and outcome probabilities. Our engineering stack is built around Python, FastAPI, and PostgreSQL, with a strong emphasis on machine learning pipelines, vector-based retrieval systems, and large language model integrations.

Role Overview

We are looking for a motivated AI / ML Engineering Intern to join our team for a 6-month remote internship. You will contribute to building and improving our core machine learning and data intelligence systems — from data collection and model training to API deployment and LLM fine-tuning. This is a hands-on role where your work will go live in a real product used by real users.

What You Will Work On

• Build and train predictive models (LSTM, XGBoost, ensemble methods) for real-time forecasting tasks
• Develop Python-based web scraping pipelines (BeautifulSoup, Scrapy, Selenium) to collect live and historical data from public web sources
• Design and expose FastAPI endpoints to serve model outputs and analytics results to client applications
• Build and maintain a RAG (Retrieval-Augmented Generation) pipeline for intelligent, context-aware information retrieval
• Set up and manage a vector database (pgvector / Pinecone) for semantic search and embedding-based retrieval
• Fine-tune open-source LLMs on domain-specific data to improve prediction quality and natural language output
• Write data preprocessing and feature engineering pipelines for structured datasets stored in PostgreSQL
• Evaluate model performance using standard metrics (accuracy, F1, ROC-AUC) and iterate based on results

Required Skills

• Python — strong fundamentals, clean coding practices
• Machine learning — supervised and unsupervised methods
• Deep learning — LSTM, sequence modeling (TensorFlow or PyTorch)
• FastAPI — building and documenting REST APIs
• PostgreSQL — writing queries, data modeling, schema design
• Web scraping — BeautifulSoup, Scrapy, or Selenium
• Data handling — NumPy, Pandas, data cleaning and transformation
• Model evaluation — understanding of standard ML metrics

Good to Have

• Hands-on experience with RAG pipelines or LangChain
• Familiarity with vector databases (pgvector, Pinecone, Weaviate)
• Experience with LLM fine-tuning (LoRA, PEFT, or similar)
• Exposure to Supabase or any cloud-hosted PostgreSQL
• Prior work on any data-heavy or analytics-focused project

What You Get

• Monthly stipend for the full 6-month duration
• Real production experience — your code ships to a live platform
• End-to-end ownership of the ML pipeline: data collection → model training → API → product
• Certificate of completion and a strong LinkedIn recommendation
• Direct mentorship from the founder
• Pre-placement offer (PPO) consideration based on performance

Pay: ₹1,000.00 per month

Benefits:

• Work from home

Application Question(s):

• Describe a project you have built or a problem you have solved using Python or machine learning — what was the problem, what did you build, and what was the outcome?

Education:

• Higher Secondary(12th Pass) (Required)

Language:

• English (Required)

Shift availability:

• Day Shift (Required)

Work Location: Remote