Python Engineer (Data/ML)

Company Description

Gleantap is an intelligent customer experience platform designed for fitness and wellness clubs, enabling businesses to harness data to run effective sales and marketing campaigns.

By integrating contextual data, AI, and automation, Gleantap streamlines communication between brands and their customers.

The platform drives enhanced lead conversion rates and improves customer retention.

Gleantap is at the forefront of helping businesses deliver personalized experiences and achieve growth through innovative technology solutions.

Role Description

This is a full-time remote role for a Python Engineer (Data/ML) at Gleantap.

The role involves developing and maintaining backend systems, implementing features for handling and analyzing data, and contributing to the integration of machine learning models into the platform.

The Python Engineer will collaborate with cross-functional teams to design scalable solutions and improve system performance.

The position requires a proactive approach to identifying and solving technical challenges.

Requirements

• 3–5+ years of experience in data engineering or applied ML.
  
  
• Strong proficiency in Python, SQL, and one or more ML libraries (scikit-learn, LightGBM, XGBoost, PyTorch).
  
  
• Experience with data pipelines (Airflow, dbt, or custom ETL).
  
  
• Comfortable with event-driven systems (Kafka, Redis, ClickHouse or similar OLAP).
  
  
• Understanding of ML lifecycle: training, serving, monitoring, retraining.
  
  
• Ability to design time-based labels (avoiding data leakage).
  
  
• Strong problem-solving skills and eagerness to work in a startup environment.
  
  

Nice-to-Haves

• MLOps tools (MLflow, BentoML, Ray Serve).
  
  
• Experience with bandit algorithms, A/B testing, or uplift modeling.
  
  
• Prior work with customer engagement, CRM, or subscription businesses.