🛠 Tech Stack

💼 About This Role

You'll design, build, and deploy scalable ML models and pipelines for cross-functional teams. Your work will directly impact business decisions through data-driven solutions. This role offers the chance to work with cutting-edge tools like PySpark and MLflow in a fully remote setup.

🎯 What You'll Do

• Design, build, and deploy scalable ML models and pipelines
• Develop and optimize data processing workflows with Python, SQL, PySpark
• Deploy and monitor ML models in cloud environments
• Collaborate with cross-functional teams to translate business problems into data-driven solutions

📋 Requirements

• Bachelor's or Master's in Computer Science, ML, Data Science, or equivalent
• Experience as a Machine Learning Engineer deploying and scaling ML systems
• Strong proficiency in Python, SQL, and PySpark
• Hands-on experience with ML frameworks like scikit-learn, TensorFlow, PyTorch, or XGBoost

✨ Nice to Have

• Experience with MLOps practices including CI/CD and model versioning
• Experience with containerized environments and Kubernetes
• Experience with MLflow or similar pipeline tools

🎁 Benefits & Perks

• 🏖️ Remote work from home
• 💻 Flexible hours
• 📚 Learning opportunities with cutting-edge tech stack

📨 Hiring Process

Estimated timeline: 2-3 weeks · AI estimate

1. 1Recruiter Screen· 30 min
2. 2Technical Interview· 60 min
3. 3Hiring Manager Interview· 45 min