Machine Learning Lead

CASHLESS TECHNOLOGIES INDIA PRIVATE LIMITED

Introduction:

Benow is a flagship product developed by Cashless Technologies India Private Limited, a subsidiary of Pinelabs, a leading fintech company in the payment industry established in 2008, Our mission is to revolutionize the way businesses and individuals transact, offering secure and innovative payment solutions. With a strong focus on simplicity, efficiency, and customer satisfaction, we empower merchants and consumers to embrace digital payment technologies with confidence.

Products/Services:

Brand EMI Engine Is Non Trivial – It's an info/payments super highway with multiple intersections, Check points, routes, connections and destinations. Benow makes it seamless for all the stakeholders.

Benow has gained trust and recognition from a wide range of banks and brands. Our clientele includes prominent brands like Samsung, Oppo, Vivo, Xiaomi, Realme, LG, Haier, HP, Panasonic, Sony & more along with leading banks such as HDFC, ICICI, SBI, Axis, Onecard, Induslnd, Bank of Baroda, Yes Bank, AU Small Finance & more. We take pride in our long-standing relationships built on reliability, trust, and our ability to empower businesses with seamless payment solutions.

Team and Culture

At Benow, we have assembled a team of highly skilled professionals dedicated to transforming the payment industry. Our team comprises industry experts, technological innovators, relationship managers, customer service specialists who work tirelessly to develop and deliver solutions that exceed merchant, bank and brand expectations. Together, we strive to provide reliable, secure, and efficient payment solutions.

We foster a culture of continuous learning and professional growth. Our team actively engage in industry events, conferences, and training programs to stay up-to-date with the latest advancements in technologies. This commitment to staying ahead of the curve enables us to provide our clients with state-of-the-art payment solutions.

Our employee experiences encompass

•Celebrating achievements and encouraging creativity

•Thriving on collaboration, where diverse perspectives come together to achieve remarkable outcomes

•Engaging in meaningful work and cutting-edge technologies/ projects that push boundaries to create solutions that matter

What drives us at work?

"Every day is a Game Day : We give it all, We play fair, We are not just Playing to win. We are playing to be Champions of our field"

If you think you have all it takes to be part of this team, We will be happy to connect with you

Look forward to our interaction

Lead Machine Learning Engineer

Experience - 5 - 8yrs

Location - Mumbai

What matters in this role

A highly skilled Lead Machine Learning Engineer with a track record of driving business impact through classical ML models in the fintech domain. Adept at building, deploying, and scaling machine learning solutions that optimize customer targeting strategies across FOS, digital, and telecalling channels. Proven ability to work with cross-functional teams to leverage data-driven insights and enhance merchant engagement.

Responsibilities we entrust you with

•Designed and deployed ML models that increased the conversion rate of merchants by X% through intelligent lead prioritization.

•Built a machine learning pipeline to predict merchant churn, leading to a Y% increase in merchant retention via proactive interventions.

•Deployed ML models to assign high-value leads to Field Officers, increasing the sales team's efficiency by A%.

•Led multi-channel marketing experiments to measure the effectiveness of digital and telecalling campaigns, improving Return on Ad Spend (ROAS).

•Implemented an anomaly detection system that flagged suspicious transactions in real-time, reducing fraud losses.

Core Technical Skills

•Machine Learning & Statistical Modeling: Logistic Regression, Random Forest, Gradient Boosting (XGBoost, LightGBM), SVM, K-Means Clustering, Time Series Forecasting.

•Data Engineering & Processing: SQL, Apache Spark, Feature Engineering, Data Pipelines.

•Model Deployment & MLOps: AWS SageMaker, FastAPI, Flask, Docker, Kubernetes, Airflow, MLflow.

•Customer Segmentation & Personalization: Clustering models for segmentation, Uplift Modeling for campaign optimization.

•Business Intelligence & Experimentation: A/B Testing, Causal Inference, BI Tools (AWS QuickSight, Tableau).

•Programming Languages: Python (Pandas, NumPy, Scikit-learn), SQL.

•Big Data & Real-time Processing: Kafka, Apache Flink, Elasticsearch for real-time lead scoring.

Responsibilities

•Own the end-to-end lifecycle of ML models, from problem definition to production deployment.

•Partner with Sales, Marketing, and Product teams to drive merchant acquisition & engagement.

•Ensure models are scalable, monitored, and optimized for real-time use.

•Work with Data Engineers to build robust, automated data pipelines.

•Develop lead prioritization and recommendation systems for sales teams.

•Implement A/B testing, monitoring dashboards, and retraining strategies.

•Act as a technical mentor, guiding junior ML engineers and data scientists.

Ideal Candidate Profile

•Experience: 5+ years in ML & Data Science, preferably in Fintech, Payments, or Lending.

•Domain Expertise: Strong understanding of merchant acquisition, customer segmentation, and financial risk modeling.

•Business & Product Mindset: Can translate business problems into ML solutions that drive measurable revenue impact.

•Hands-on with ML Deployment: Not just an algorithm expert, but someone who gets models into production at scale.

What matters in this role

•Work on impactful ML models that directly drive revenue & optimize merchant engagement.

•Access to large-scale transaction data to build cutting-edge predictive models.

•Collaborate with a cross-functional fintech team (Product, Sales, Engineering, BI).

•Opportunity to lead ML innovation in the fintech space with real-world impact.

What we Value in Our people

• You take the shot: You Decide Fast and You Deliver Right
• You are the CEO of what you do: you show ownership and make things happen
• You own tomorrow: by building solutions for the merchants and doing the right thing
• You sign your work like an artist: You seek to learn and take pride in the work you do