Machine Learning/ AI Intern

Who We are:

Short video abous us

We are a team of Ecommerce enthusiasts, passionate about using technology to simplify Digital Commerce and Payments for brands across the globe. Paxcom a leading Digital Solution Provider is a part of Paymentus now, a leading electronic bill payment provider. PaymentUs leads the North American marketplace in electronic bill payment solutions and have recently signed a partnership with Paypal, Alexa and Walmart.

For more details, please visit www.paymentus.com & www.paxcom.ai

Job Location: Gurgaon – Work From Office

Department: E-commerce

Experience: 6months–1 Year

Job Summary

We are looking for a passionate and curious AI/ML Intern to join our fast-paced E-commerce team . This role offers an opportunity to gain hands-on experience in Machine Learning, Generative AI, LLMs, RAG, data processing, and AI application development while working on real-world projects.

Key Responsibilities

• •Assist in developing and testing machine learning and AI solutions for real-world business problems.
• •Work with Python, Pandas, NumPy, and Scikit-learn for data processing and ML development.
• •Support experimentation with LLMs, Generative AI, RAG, and AI APIs .
• •Assist in building prototypes and integrating AI models into applications.
• •Work with structured and unstructured data using SQL and NoSQL databases .
• •Support model training, evaluation, debugging, and performance improvement.
• •Gain exposure to Docker, CI/CD, and cloud platforms such as AWS, GCP, or Azure.
• •Explore emerging AI/ML models, frameworks, and techniques and share relevant findings with the team.
• •Collaborate with senior engineers and cross-functional teams to understand requirements and implement solutions.

Essential Skills

Programming:

• •Good knowledge of Python
• •Familiarity with Pandas, NumPy, and data processing

Machine Learning:

• •Basic understanding of Machine Learning concepts
• •Familiarity with Scikit-learn
• •Exposure to PyTorch or TensorFlow is preferred

Generative AI / LLMs:

• •Basic understanding of LLMs and Generative AI
• •Familiarity with RAG, embeddings, vector databases, or LLM APIs is a plus
• •Academic or personal projects involving OpenAI, Gemini, Claude, Llama, or similar models will be an advantage

Data Handling:

• •Basic knowledge of SQL
• •Understanding of data cleaning, preprocessing, and analysis
• •Exposure to NoSQL databases is a plus

Cloud & MLOps:

• •Basic understanding of Docker, Git, and CI/CD
• •Exposure to AWS, GCP, or Azure is desirable

What We’re Looking For

• •Strong interest in AI/ML and emerging technologies
• •Good analytical and problem-solving skills
• •Willingness to learn and experiment with new tools and models
• •Ability to work independently while knowing when to seek guidance
• •Good communication and collaboration skills
• •A proactive, curious, and hands-on approach
• •Ability to work in a fast-paced environment with changing priorities

Education

• •Recently completed a B.Tech/B.E./M.Tech/MCA in Computer Science, AI/ML, Data Science, or a related field.
• •Candidates with strong academic, personal, or GitHub AI/ML projects will be preferred.

Good to Have

• •ML/AI internship or project experience
• •Knowledge of RAG and vector databases
• •Experience with LLM APIs
• •Familiarity with LangChain, LlamaIndex, Hugging Face, or similar frameworks
• •Participation in AI/ML hackathons or competitions
• •Strong GitHub/project portfolio