Machine Learning (ML)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.
Shubham Vishwakarma
Full Stack Developer - Averlon
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Full Stack Developer - Averlon