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 systems.
Hands‑on experience with LLM integration and RAG architectures.
Strong software engineering fun...