🛠 Tech Stack

💼 About This Role

You'll design, develop, and deploy scalable machine learning models and pipelines. You'll collaborate with cross-functional teams to translate business problems into data-driven solutions and improve model performance. This role offers the chance to lead technical projects and mentor junior engineers.

🎯 What You'll Do

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

📋 Requirements

• 5+ years experience as Machine Learning Engineer
• Python, SQL, and PySpark proficiency
• Experience with scikit-learn, TensorFlow, PyTorch, or XGBoost
• Experience with MLflow or similar ML pipeline tools

✨ Nice to Have

• Experience with Kubernetes for ML workloads
• Experience with MLOps including CI/CD and model versioning
• Experience deploying models in AWS, GCP, Azure, or Databricks

🎁 Benefits & Perks

• 🏖️ Flexible Work Options
• 💻 Remote/Hybrid Opportunities
• 📚 Professional Development
• 🏥 Health Insurance
• 💰 Competitive Compensation

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

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