This role is ideal for someone with ML knowledge AND a strong technical foundation who wants to grow within an enterprise environment, working on real‑world AI applications used at scale
Job Summary
This role is ideal for someone with ML knowledge AND a strong technical foundation who wants to grow within an enterprise environment, working on real‑world AI applications used at scale.
You will contribute to the full ML lifecycle, collaborating closely with data scientists, developers, and senior hardware engineers to transform research and prototypes into robust, maintainable, and well‑monitored production systems across cloud and on‑prem environments.
You’ll gain hands‑on experience building production level AI systems and mentorship from senior ML and AI engineers in a structured, supportive environment.
Matching Summary
This role is ideal for someone with ML knowledge AND a strong technical foundation who wants to grow within an enterprise environment, working on real‑world AI applications used at scale.
Skills & Requirements
Must-have
production-grade AI systems
ML lifecycle
Python/C# programming skills
LLM pipelines
RAG concepts
Nice-to-have
modern AI stacks
scalable ML infrastructure
cross-functional teams
agentic workflows
Key Requirements
MSc or BSc with 3 years experience
Strong Python/C# programming skills
Solid understanding of ML lifecycle
Experience in LLM pipelines or modern AI frameworks