Website Paxcom.ai
Paxcom Careers: AI/ML Specialist (Gurugram)
Paxcom, a leading Digital Solution Provider and part of Paymentus (NASDAQ: PAY), is looking for a driven AI/ML Specialist to join our team in Gurugram. Paymentus is the premier provider of electronic bill payment solutions in North America, recently making headlines with strategic partnerships alongside PayPal and Alexa.
Recognised by Deloitte as one of the fastest-growing companies, we provide secure payment services for over 1,300 clients across Telecom, Utilities, and Health industries. In this role, you will leverage the latest-gen technologies to deliver impactful code that touches the lives of millions.
The Role: Driving Intelligence in Bill-Pay Systems
As an AI/ML Specialist, you will be the catalyst for our next-gen capabilities. You will collaborate with stakeholders to design and deploy models that solve complex predictive and pattern-recognition challenges.
Key Responsibilities:
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Gen AI Implementation: Leverage and fine-tune models such as Falcon, Llama 2, and GPT-4 using advanced Prompt Engineering.
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RAG Pipeline Development: Create and maintain Retrieval-Augmented Generation (RAG) pipelines to enhance model accuracy.
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Deep Learning & Algorithms: Apply expertise in CNNs, RNNs, Transformers, and state-of-the-art algorithms like BERT and T5.
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Predictive Analytics: Conduct statistical analysis, data mining, and temporal analysis for event correlation and pattern recognition.
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Cloud Operations: Deploy and manage AI solutions using AWS services (EC2, S3, ECR).
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Scalable Detection: Work with object detection frameworks (TFOD, YOLO, Detectron) within large-scale distributed platforms.
Your Technical Success Profile
We are looking for a specialist who balances deep academic understanding with hands-on open-source proficiency.
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Experience: Minimum of 4 years in Data Science and Machine Learning.
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Core Technical Stack:
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Languages: Python scripting and Bash.
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Tools: CUDA, NumPy, Scipy, Scikit-learn, and Matplotlib.
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Environment: Strong proficiency in Linux.
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Specialised Expertise (At least one):
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Deep Learning (ResNet, LSTM, Attention/Memory).
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Modern ML APIs & Methods (ONNX, XLNET, CRFs).
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Large-scale Object Detection frameworks.
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Analytics: Strong background in Time Series Analysis and predictive modelling.
Why Join Paxcom?
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Market-Leading Impact: Your code supports a platform signed with PayPal and Alexa, serving millions.
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Work-Life Harmony: We embrace a flexible, laid-back atmosphere with a focus on balance.
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Cutting-Edge Tech: Engage with emerging technologies as they hit the market.
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Competitive Rewards: Enjoy a comprehensive compensation package and a goal-driven team culture.
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Approachable Leadership: Work with a management team that is supportive and accomplished.
How to Apply
The interview process includes a Coding Challenge, followed by Technical and Managerial webcam rounds.
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Showcase Your RAG Projects: Tell us about the basic RAG pipelines you have built and the data sources you utilised.
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Detail Your Gen AI Experience: We want to hear about your hands-on work with Llama 2 or Falcon and how you optimised prompts for specific use cases.


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