AI/ML Intern
📍 Location: Sector 67, Gurugram
🕒 Duration: 3–6 months
About Fairdeal.Market:
We are India’s largest B2B quick commerce platform, revolutionizing procurement for retailers and kiranas with unmatched speed, selection, and efficiency. As we scale rapidly, we’re looking for passionate team players to help us build a world-class organization from the inside out.
Core Competencies
· Strong understanding of
machine learning fundamentals
, including supervised/unsupervised learning, evaluation metrics, and model optimization.
· Hands-on experience with
Large Language Models (LLMs)
– fine-tuning, prompt engineering, and deployment.
· Familiar with
Python ML/AI libraries
(TensorFlow, PyTorch, Hugging Face, NumPy, Pandas).
· Knowledge of
API design and development
(REST, Flask/FastAPI, Postman).
· Exposure to
data preprocessing, feature engineering, and visualization tools
.
Technical Skills
·
Programming
: Python, SQL, basic Java/JavaScript (preferred).
·
AI/ML
: LLMs, NLP pipelines, transformers, regression/classification models.
·
Software Engineering
: Version control (Git/GitHub), unit testing, CI/CD basics.
·
APIs & Integration
: Building and consuming APIs for ML model deployment.
·
Cloud & Tools (good to have)
: AWS/GCP/Azure ML services, Docker.
Soft Skills
·
Self-driven and curious learner
, eager to experiment and explore new technologies.
· Strong
problem-solving ability
and analytical mindset.
· Ability to
work independently and collaboratively
in a fast-paced environment.
· Effective
communication and documentation skills
.
Expected Contributions
· Support the design, training, and deployment of ML/AI models.
· Experiment with and optimize LLM-based applications for business use cases.
· Collaborate with senior engineers on API integration and scalable ML pipelines.
· Document findings, results, and best practices for the team.
Background
· Bachelor’s/Master’s in Computer Science, Data Science, or related field.
· Solid foundation in algorithms, data structures, databases, and software engineering principles.
