Requirements

• 5+ years of software engineering experience with at least 3 years in ML engineering in production environments.
• Strong expertise in Python and ML frameworks (TensorFlow, PyTorch, Scikit-learn, or equivalent).
• Hands‑on experience deploying ML models in enterprise environments.
• Experience integrating and operationalizing LLMs and RAG architectures.
• Solid understanding of CI/CD for ML systems.
• Experience with AWS, Azure, or GCP in enterprise contexts.
• Strong knowledge of APIs, distributed systems, and scalable architecture.
• Advanced English proficiency.

Core Competencies

• Production-oriented engineering mindset.
• Ownership of system reliability and scalability.
• Adaptability to heterogeneous enterprise environments.
• Strong collaboration and client-facing capability.
• Proven enterprise production experience with ML syst...