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Loyalty Juggernaut Inc
Loyalty Juggernaut Inc cover picture
Loyalty Juggernaut Inc logo

Loyalty Juggernaut Inc

http://www.lji.io
Founded :
2017
Type :
Product
Size :
100-500
Stage :
Profitable

About

Headquartered in Silicon Valley, Loyalty Juggernaut, Inc. (LJI) is the next-gen loyalty and customer engagement solutions enterprise, helping brands reimagine their customer loyalty initiatives in #theageofdigitalcustomer. GRAVTY®, LJI's digital transformation platform is specifically designed for the ecosystem-centric loyalty programs. Built ground-up on break-through technologies including serverless computing, microservices architecture, AI/ML, and big data, GRAVTY® addresses the fundamental limitations of the traditional loyalty platforms and enables brands to deliver on the digital customer expectations comprehensively. GRAVTY® client base includes leading global brands, running industry-defining and award-winning, ecosystem-centric loyalty programs in airline, hospitality, retail, food & beverages, financial services, telco and multi-brand, diversified business groups.
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Sivaji Talluri
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Shraddha Dhavle

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Jobs at Loyalty Juggernaut Inc

Loyalty Juggernaut Inc
at Loyalty Juggernaut Inc
2 recruiters
Shraddha Dhavle
Posted by Shraddha Dhavle
Hyderabad
3 - 8 yrs
₹5L - ₹20L / yr
kaggle
Kaggle
skill iconMachine Learning (ML)
Artificial Intelligence (AI)
TensorFlow

Loyalty Juggernaut Inc. (LJI) is a Silicon Valley-based product company, founded by industry veterans with decades of expertise in CRM, Loyalty, and Mobile AdTech. With a global footprint spanning the USA, Europe, UAE, India, and Latin America, we are trusted partners for customer centric enterprises across diverse industries including Airlines, Airport, Retail, Hospitality, Banking, F&B, Telecom, Insurance and Ecosystem.

As pioneers in next-generation loyalty and customer engagement solutions, we are not just transforming loyalty—we are redefining it. With a passion for innovation and a commitment to excellence, LJI is reshaping the loyalty landscape, enabling enterprises to create meaningful, long-lasting relationships with their customers. We are THE JUGGERNAUTS, driving innovation and impact in the loyalty ecosystem.

At the core of our innovation is GRAVTY®, a revolutionary Digital Transformation SaaS Product that empowers multinational enterprises to build deeper customer connections. Designed for scalability and personalization, GRAVTY® delivers cutting-edge loyalty solutions that transform customer engagement across diverse markets.


Our Impact:

  • 400+ million members connected through our platform.
  • Trusted by 100+ global brands/partners, driving loyalty and brand devotion worldwide.


Proud to be a Three-Time Champion for Best Technology Innovation in Loyalty!!


Explore more about us at www.lji.io.


We are seeking a highly skilled Machine Learning Engineer to join our dynamic team. The ideal candidate will have a proven track record of developing and deploying machine learning models in production that drive significant business impact. With a passion for data science and a competitive edge demonstrated through Kaggle rankings, you will play a crucial role in advancing our Machine Learning initiatives.


What you will OWN:

  • Design, develop, and deploy machine learning models to enhance customer loyalty and engagement.
  • Collaborate with cross-functional teams to understand business needs and translate them into technical solutions.
  • Conduct data exploration and feature engineering to improve model performance.
  • Stay abreast of the latest machine learning techniques and technologies, applying them to solve challenging problems.
  • Evaluate and monitor model performance, making iterative improvements to achieve business objectives.


You would make a GREAT FIT if you have :

  • Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related field.
  • Minimum of 5 years of experience in building and deploying machine learning models.
  • Strong proficiency in programming languages such as Python or R.
  • Experience with machine learning frameworks (e.g., TensorFlow, PyTorch) and libraries (e.g., scikit-learn, pandas).
  • Knowledge on cloud computing services (e.g., AWS, Google Cloud, Azure) and their machine learning offerings.
  • Proven track record on Kaggle(or similar) with a high ranking, demonstrating expertise in data science competitions.
  • Experience with deep learning/Neural networks (nice to have).
  • Ability to work in a fast-paced, agile development environment.
  • Passion for innovation and a desire to stay at the cutting edge of machine learning and data science.
  • Experience with building and deploying ML models in production.
  • Excellent analytical and problem-solving skills.
  • Strong communication and collaboration skills.
  • Knowledge of reinforcement learning and recommendation systems – Nice to have.


Why should you consider us?

  • Opportunity to Innovate with and Learn from a World-class technology team
  • Dabble into the future of technology - Enterprise Cloud Computing, Blockchain, Machine Learning and AI, Mobile, Digital Wallets, and much more...
  • Grow with a fast growing company with global presence and recognition.


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Loyalty Juggernaut Inc
at Loyalty Juggernaut Inc
2 recruiters
Shraddha Dhavle
Posted by Shraddha Dhavle
icon

The recruiter has not been active on this job recently. You may apply but please expect a delayed response.

Hyderabad
0 - 3 yrs
₹5L - ₹15L / yr (ESOP available)
skill iconJava
skill iconPython
skill iconAngularJS (1.x)
skill iconiOS App Development
skill iconAndroid Development

Loyalty Juggernaut, Inc. (LJI) is a next-generation loyalty and customer engagement solutions enterprise, helping brands re-imagine their loyalty initiatives in #theageofdigitalconsumer.

 

Headquartered in the Silicon Valley with R & D and Professional Services presence in Hyderabad, India and Distribution offices globally. LJI is founded by customer relationship management experts with decades of experience in delivering world-class technology innovations in CRM, Loyalty, AdTech and consulting for leading global brands across industries. 

LJI delivers GRAVTY – transformational digital platform for loyalty and customer engagement built on Big Data, Micro-services based, Serverless Architecture, AI/ML delivered on the Cloud to help brands execute innovative strategies aimed at attracting, acquiring, rewarding, recognizing, engaging, and leveraging customers in order to maximize revenue, profitability and customer lifetime value.

 

Visit us at http://www.lji.io/">www.lji.io

 

LJI is inviting applications for the position of Product Engineer in our R&D Team

 

YOUR RESPONSIBILITIES 

As a Product Engineer in R&D team, you will  be responsible for end-end Software development life-cycle involving Technical design, implementation, deployment, and support. You will 

  • Work actively with Product Specialists, Business Analysts and other stakeholders on the development of cutting-edge product features
  • Partner with Customer Success teams to review and implement business requirements
  • Build high-quality innovative and reusable code - design and implement new features in cooperation with the enterprise architect
  • Conduct software analysis, programming, testing and debugging
  • Ensure designs are in compliance with specifications
  • Identify production and non-production application issues and support them

 

OUR TECH STACK

  • Java(SpringBoot)
  • Python(Django)
  • PostgreSQL
  • REST, WebServices
  • Angular, Javascript, HTML
  • Jenkins, Maven, Git, Ansible
  • AWS

 

YOUR PROFILE

  1. B.Tech or M.Tech in CSE/IT OR MCA/BCA
  2. Strong programming skills
  3. Analytical mind and problem-solving aptitude   
  4. Excellent communication skills
  5. Attention to detail  

 

OUR OFFERING

  1. Opportunity to Innovate with and Learn from a World-class technology team
  2. Dabble into the future of technology - Enterprise Cloud Computing, Blockchain, Machine Learning and AI, Mobile, Digital Wallets, and much more...
  3. Grow with a fast growing company with global presence and recognition
Read more
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