🛠 Tech Stack

💼 About This Role

You'll design and implement ML models for demand planning and budget forecasting at a remote-first startup. You'll collaborate with product and engineering teams to integrate models into production. This role offers exposure to cutting-edge AI and cloud technologies.

🎯 What You'll Do

• Design and implement ML models for forecasting, recommendation, pricing, or churn.
• Perform exploratory data analysis to identify trends and anomalies.
• Collaborate with stakeholders to define problems and success metrics.
• Build scalable ML workflows and monitor model performance.

📋 Requirements

• Expert knowledge of Python for data analysis and machine learning.
• Hands-on experience with common ML libraries and frameworks.
• Strong understanding of machine learning and statistical techniques (supervised/unsupervised, time series, A/B testing).
• Experience deploying ML models into production and maintaining them.

✨ Nice to Have

• Experience with recommendation systems, dynamic pricing, or customer segmentation.
• Experience with cloud platforms (AWS, GCP, Azure) and data/ML services.
• Knowledge of Docker, Airflow, MLflow or similar tools.

🎁 Benefits & Perks

• 🌍 Remote-first culture – work from anywhere!
• 🚀 In-Company English Lessons.
• 💪 Wellhub or sports club stipend to stay active.
• 🎂 Birthday off + extra vacation week (Mutt Week!).
• ✈️ Annual Mutters' Trip – unforgettable getaway with the team.