🛠 Tech Stack

💼 About This Role

You'll design and drive scalable ML architectures for deploying and managing applications, collaborating with data scientists and engineers to translate business needs into efficient ML systems. You'll own core functionalities including ML pipelines, model training, and deployment while mentoring other engineers. This role offers the chance to explore latest tools and frameworks in ML.

🎯 What You'll Do

• Design and drive robust scalable ML architectures and infrastructure.
• Collaborate with data scientists to translate business needs into ML systems.
• Develop and maintain ML pipelines, model training, deployment, and monitoring.
• Drive functional stream of work and ensure timely delivery.

📋 Requirements

• Advanced English level is required.
• Strong experience with LLM and AI.
• Proficient in Python or Shell scripting.
• Experience with distributed systems and scalable architectures.

✨ Nice to Have

• Knowledge of on-premise and cloud services like Azure, AWS, GCP or Databricks.
• Experience with MLOps principles and CI/CD for ML.

🎁 Benefits & Perks

• 📚 Learning & Development programs and interactive tools.
• 🤝 Supportive culture with mentor opportunities.
• 🌍 Global community of bright and supportive colleagues.