Intracom Telecom
AI

Senior ML Engineer

Intracom Telecom · Παιανία, GRI, GR

Actively hiring Posted 7 days ago

Role overview

INTRACOM TELECOM is a global telecommunications systems and solutions vendor with more than 40 years of market presence. We operate at the forefront of wireless access, transmission and software-driven solutions, supporting demanding customers across multiple industries.

Within this framework we are looking for a Senior ML Engineer to join our AI & Data Analytics team and contribute to the design, delivery and operation of production-grade AI systems embedded in company products. The role combines hands-on engineering with technical leadership, owning architecture and implementation of complex AI solutions.

What you'll work on

  • Design, implement, and maintain production-grade AI systems, including traditional ML and LLM-based agentic solutions
  • Own end-to-end ML and LLM pipelines, from data processing and feature pipelines to deployment, monitoring, and continuous improvement
  • Build and operate efficient LLM inference and serving stacks, including deployment and optimization (e.g., batching, quantization, scalable runtimes, vLLM)
  • Lead architectural and technical decisions, setting best practices, coding standards and mentoring engineers
  • Collaborate closely with product managers, software engineers, and stakeholders to translate business needs into scalable AI solutions
  • Ensure reliability, scalability, and observability of AI in production
  • Contribute to and evolve the team’s MLOps processes, including CI/CD, automation, and model lifecycle management

What we're looking for

  • Data engineering or large-scale data pipeline experience
  • Knowledge of telecommunication networks and networking protocols
  • Exposure to 5G RAN architecture is highly appreciated
  • Experience working in regulated environments or with enterprise-grade systems
  • Backend development (e.g., Django) and strong Linux networking knowledge
  • Familiarity with observability tools (Prometheus, Grafana, ELK/OpenSearch)

Tags & focus areas

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