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 http://paymentus.com & http://paxcom.ai
Job Location: Gurgaon – Work From Office
Department: E-commerce
Experience: 6months–1 Year
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.
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Assist in developing and testing machine learning and AI solutions for real-world business problems.
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Work with Python, Pandas, NumPy, and Scikit-learn for data processing and ML development.
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Support experimentation with LLMs, Generative AI, RAG, and AI APIs.
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Assist in building prototypes and integrating AI models into applications.
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Work with structured and unstructured data using SQL and NoSQL databases.
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Support model training, evaluation, debugging, and performance improvement.
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Gain exposure to Docker, CI/CD, and cloud platforms such as AWS, GCP, or Azure.
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Explore emerging AI/ML models, frameworks, and techniques and share relevant findings with the team.
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Collaborate with senior engineers and cross-functional teams to understand requirements and implement solutions.
Programming:
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Good knowledge of Python
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Familiarity with Pandas, NumPy, and data processing
Machine Learning:
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Basic understanding of Machine Learning concepts
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Familiarity with Scikit-learn
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Exposure to PyTorch or TensorFlow is preferred
Generative AI / LLMs:
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Basic understanding of LLMs and Generative AI
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Familiarity with RAG, embeddings, vector databases, or LLM APIs is a plus
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Academic or personal projects involving OpenAI, Gemini, Claude, Llama, or similar models will be an advantage
Data Handling:
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Basic knowledge of SQL
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Understanding of data cleaning, preprocessing, and analysis
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Exposure to NoSQL databases is a plus
Cloud & MLOps:
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Basic understanding of Docker, Git, and CI/CD
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Exposure to AWS, GCP, or Azure is desirable
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Strong interest in AI/ML and emerging technologies
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Good analytical and problem-solving skills
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Willingness to learn and experiment with new tools and models
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Ability to work independently while knowing when to seek guidance
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Good communication and collaboration skills
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A proactive, curious, and hands-on approach
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Ability to work in a fast-paced environment with changing priorities
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Recently completed a B.Tech/B.E./M.Tech/MCA in Computer Science, AI/ML, Data Science, or a related field.
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Candidates with strong academic, personal, or GitHub AI/ML projects will be preferred.
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ML/AI internship or project experience
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Knowledge of RAG and vector databases
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Experience with LLM APIs
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Familiarity with LangChain, LlamaIndex, Hugging Face, or similar frameworks
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Participation in AI/ML hackathons or competitions
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Strong GitHub/project portfolio
