🛠 Tech Stack

💼 About This Role

You'll lead the design of scalable ML systems and oversee program inception to build new applications. Your work directly shapes the trajectory of ML initiatives, aligning technical solutions with organizational goals and ensuring impactful outcomes for high-stakes projects.

🎯 What You'll Do

• Lead design of technical solutions for ML systems
• Oversee program inception from idea to reality
• Develop and maintain scalable ML pipelines and models
• Champion Responsible AI and effective team practices

📋 Requirements

• Experience in developing a technical vision and strategy
• Proficiency in Python or Shell for clean, maintainable code
• Experience with distributed systems and scalable architectures
• Hands-on experience with cloud services (Azure, AWS, GCP) and ML pipelines

✨ Nice to Have

• Experience with ML platforms like Scikit-learn, Tensorflow, MLFlow, Kubeflow, Pytorch
• Experience with MLOps principles and CI/CD for ML
• Knowledge of on-premise vs. cloud infrastructure for ML workloads

🎁 Benefits & Perks

• 📚 Learning & Development programs
• 🤝 Supportive Community of bright colleagues
• 🌍 Global Mobility opportunities

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

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