🛠 Tech Stack

💼 About This Role

You'll design and drive the development of robust, scalable architectures for deploying and managing machine learning applications. You'll own core ML functionalities including pipelines, model training, deployment, and monitoring. This role offers the chance to work with the latest ML tools and frameworks while mentoring other engineers.

🎯 What You'll Do

• Architect and build scalable ML infrastructure and pipelines
• Collaborate with data scientists to translate business needs into ML solutions
• Develop and maintain core ML application functionalities
• Drive technical stream of work and ensure timely delivery

📋 Requirements

• Advanced English level
• Strong experience with LLMs and AI
• Proficiency in Python or Shell scripting
• Experience with ML frameworks like TensorFlow, PyTorch, and MLOps

✨ Nice to Have

• Experience with cloud platforms such as Azure, AWS, or GCP
• Knowledge of distributed systems and scalable architectures
• Experience with on-premise and cloud ML infrastructure

🎁 Benefits & Perks

• 📚 Learning & Development programs tailored to your career path
• 🌍 Remote work eligible
• 🤝 Collaborative culture with mentorship opportunities