🛠 Tech Stack

💼 About This Role

You'll design and deliver end-to-end AI and ML solutions in a highly innovative, AI-driven environment. You'll build scalable architectures for classical ML and Generative AI, developing and operationalizing models including LLMs. This role offers strong ownership across architecture, implementation, and MLOps in cloud-native ecosystems.

🎯 What You'll Do

• Design and operationalize AI/ML solutions end-to-end.
• Build and implement ML and GenAI solutions including LLMs.
• Develop and maintain data and ML pipelines.
• Implement MLOps best practices for model lifecycle.

📋 Requirements

• Senior ML Engineer experience in production environments.
• Hands-on experience with Kubernetes (K8s) and Helm.
• Experience implementing CI/CD pipelines for ML systems.
• Experience with cloud platforms (OCI or GCP).

✨ Nice to Have

• Experience with RAG systems and autonomous agents.
• Knowledge of FinOps applied to AI workloads.

🎁 Benefits & Perks

• 💰 Competitive compensation aligned with experience
• 🏠 Fully remote work model
• 🛠️ Exposure to cutting-edge AI and GenAI projects
• 📈 Career growth in a fast-evolving AI-focused organization
• 🌐 International technical environment

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter Screen· 30 min
2. 2Technical Interview· 60 min
3. 3System Design Interview· 60 min