Senior Machine Learning Engineer

**About invygo**:
invygo is transforming car ownership in the Middle East through its flexible and digital-first car subscription platform. Our goal is to make car access simple, affordable, and commitment-free. Backed by top-tier investors and operating across the region, invygo is on a mission to lead the mobility revolution in MENA.

**About the role**:
At invygo, we are redefining the way people access and lease cars. We’re looking for a Senior Machine Learning Engineer to join our data science and engineering team, driving innovation in how we price, plan, and manage our car rental operations. You’ll work on end-to-end development of ML models powering dynamic pricing, churn prediction, risk assessment, and demand forecasting. This role bridges data science, engineering, and business — deploying scalable machine learning solutions that directly impact revenue, utilization, and customer satisfaction.

You’ll be working in a cloud-first environment, leveraging AWS to build robust data pipelines and production-grade ML systems.

**What you will be doing**:

- Model Development & Deployment- Dynamic Pricing - optimize subscription rates in real time based on supply, demand, and external factors.
- Churn Prediction - identify and retain at-risk customers.
- Risk Scoring - detect potential defaults.
- Recommendation system - personalize customer experience.

- Data Engineering & MLOps- Design and maintain scalable ETL workflows using AWS Glue and Redshift.
- Automate model retraining, evaluation, and deployment pipelines to ensure continuous performance and scalability.

- Collaboration & Impact- Partner with data analysts, and business teams to translate insights into operational models.
- Monitor production models for performance drift, accuracy, and stability.
- Contribute to improving internal ML infrastructure, data quality, and documentation.

**Requirements**:
**What You Bring to the Table**:

- 4+ years of experience in DS/ML
- Strong background in Machine Learning (supervised and unsupervised methods, time-series forecasting, risk modeling, etc.)
- Strong product sense — able to translate business goals and constraints into effective ML system designs, including model targets, performance metrics, and experiment strategies
- Proficiency in Python and key ML/data libraries (e.g., numpy, pandas, scikit-learn, lgbm, pytorch/tensorFlow)
- Hands-on experience with AWS services (Glue, Lambda, S3, Redshift, SageMaker).
- Experience working with MongoDB and large-scale analytical databases (Redshift or similar).
- Knowledge of deploying ML models into production environments and maintaining model lifecycle (Docker, FastAPI)
- Background in pricing optimization, risk modeling, or customer lifecycle prediction in the mobility/marketplace/fintech or similar domains
- Interest in staying up to date with current best practices in your areas of expertise
- Working proficiency and communication skills in verbal and written English

**Benefits**

**Why You’ll Love Working with Us**:
At invygo, you’ll have the autonomy, resources, and support to make big things happen. You’ll learn fast, grow faster, and see your impact every single day.

Here’s what we offer:
Competitive Salary
Employee Stock Options (because we want you to share in our success)

Team and Individual Performance Bonuses
Flexibility: Work from home or abroad
Discounts on invygo’s car subscription (yes, your rides just got cooler)
Team Engagement Days filled with collaboration and fun

**Ready to Drive Change?**:
If you’re someone who thrives on challenges, enjoys working in a dynamic environment, and wants to make an impact, we’d love to meet you.