- Top 5% of respondersLoyalty Juggernaut is in the top 5% of companies in terms of response time to applications
- Responds within a few daysBased on past data, Loyalty Juggernaut usually responds to incoming applications within a few days
- B2B
- +1
Senior Product Engineer (ML)
- ₹7L – ₹10L • No equity
- 5 years of exp
- Full Time
Not Available
In office
About the job
If you have a passion for technology, are eager to learn and grow, and have an aspiration to work in a high-tech, fast-paced startup environment, we are looking for someone like you to join LJI as a Senior Product Engineer in our AI/ML Team.
Loyalty Juggernaut Inc.(LJI) is a Silicon Valley-based Product Company founded by seasoned professionals with decades of experience in CRM, Loyalty, and Mobile AdTech with a presence across the USA, India, UAE, Europe, and LATAM. We are a next-generation loyalty and customer engagement solutions enterprise, helping brands re-imagine their loyalty initiatives in #theageofdigitalconsumer. GRAVTY®, our Revolutionary Digital Transformation Product, offers cutting edge Loyalty solutions to Multinational Global Enterprises across diverse industries, reaching over 250 million members and 100+ global brands.
Visit www.lji.io to learn more about us.
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.
Location
- Hyderabad, Telangana
- Department
- Engineering
- Employment Type
- Full-Time
- Minimum Experience
- Mid-level
- Internal Job Code
About the company
Loyalty Juggernaut
- Top 5% of respondersLoyalty Juggernaut is in the top 5% of companies in terms of response time to applications
- Responds within a few daysBased on past data, Loyalty Juggernaut usually responds to incoming applications within a few days
- B2B
- Growth StageExpanding market presence