Machine Learning Engineer

Paxcom India Pvt. Ltd.; Gurugram District; On-site; INR 1,200,000 - 2,100,000; Full time

Benefits offered by this job

Competitive compensation package

Flexible work atmosphere

Good work-life balance

Exposure to cutting-edge technologies

Job summary

Paxcom India Pvt. Ltd. is seeking an AI/ML Specialist to deliver cutting-edge capabilities by leveraging the latest technologies. You will collaborate with stakeholders and a technical team to drive impactful solutions.

The role requires a strong background in data science, ML/AI, and experience with Gen AI models, AWS, and time-series/deep-learning fundamentals.

Qualifications

• Minimum 4 years of experience in Data Science, ML, and AI techniques.
• Exposure to Gen AI models such as Falcon, Llama 2, GPT 3.5 & 4, and Prompt Engineering.
• Experience in creating basic RAG pipelines.
• Familiarity with cloud services such as AWS (EC2, S3, ECR).
• Expertise in at least one of: Time Series Analysis, Standard ML Algorithms, or Deep Learning.
• Experience with statistical analysis, data mining, temporal and pattern analysis, correlation of events, predictive modeling, and pattern recognition for various use cases.

Skills

Python scripting

CUDA

NumPy

SciPy

Matplotlib

scikit-learn

Bash scripting

Linux environment

Prompt engineering

Time series analysis

Deep learning fundamentals

Tools

Python

CUDA

NumPy

SciPy

Matplotlib

scikit-learn

bash

Linux

Job description

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 and Alexa.

Recognized by Deloitte as one of the fastest growing companies in North America, Paymentus is the premier provider of innovative, reliable, and secure electronic bill presentment and payment services for more than 1300 clients leading the Utility, Telecom, Auto Finance, Insurance, Consumer Finance, and Health industries. Our comprehensive eBilling and Payment Platform allows our clients to provide a unified customer bill-pay experience that includes online, mobile, IVR, text, kiosk, and agent-assisted channels, as well as a full range of customer communication options.

Interview process:

Coding challenge >> Round 1 (Technical Webcam>> Managerial webcam round (Tech + Managerial)

Join our team as an AI/ML Specialist and contribute to the delivery of cutting-edge capabilities by leveraging the latest technologies. In this role, you will collaborate closely with stakeholders and technical team members to drive impactful solutions.

Requirements:

• Minimum of 4 years of relevant experience in Data Science, Machine Learning, and AI techniques, with a strong background in open source technologies.


• Exposure to Gen AI models such as Falcon, Llama 2, GPT 3.5 & 4, and Prompt Engineering.


• Experience in creating basic RAG pipelines.


• Familiarity with cloud services such as AWS (EC2, S3, ECR).


• Expertise in at least one of the following areas: Time Series Analysis, Standard Machine Learning Algorithms, or Deep Learning.


• Experience with statistical analysis, data mining, temporal and pattern analysis, correlation of events, predictive modeling, and pattern recognition for various use cases.

Area of expertise:

• In-depth knowledge and hands-on experience with at least one object detection framework including TFOD, Detectron, and YOLO, operating within a large-scale distributed platform. Or,


• Solid understanding of Deep Learning fundamentals (CNN, RNN, attention/memory) and extensions (Transformer, LSTM, ResNet, etc.). Or,


• Knowledge of state-of-the-art ML algorithms such as BERT, ELMo, GPT, GPT-2, XLNET, T5, LSTMs, CRFs, etc., APIs, ONNX, and open-source methods.


• Strong experience with data science tools including Python scripting, CUDA, numpy, scipy, matplotlib, scikit-learn, bash scripting, and Linux environment.


• on-making and the ability to justify actions effectively.

Why Join Us?

• Empowerment to focus on pivotal tasks.


• Embrace a flexible and laid-back work atmosphere.


• Prioritize work-life balance.


• Appreciate collaborating with a goal-driven team.


• Interact with an approachable, supportive, and accomplished management team.


• Competitive compensation package.


• Engage with cutting-edge technologies as they emerge in the market.


• Witness the direct impact of your code on the lives of millions of customer.