Job Description
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.
- 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.