Senior ML Engineer

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.

Key Responsibilities:

• 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

Requirements:
• BSc in Computer Science, Electrical and Computer Engineering, or related field
• Proven experience delivering production AI systems as an ML / Software Engineer
• Strong understanding of machine learning and applied AI in production environments
• Hands-on experience with end-to-end ML and LLM pipelines and LLM-based systems (conversational AI, RAG, agentic workflows, vector databases)
• Experience deploying and optimizing LLMs in production, including inference tuning and efficient serving
• Solid experience with MLOps practices (CI/CD, model versioning, lifecycle management)
• Excellent proficiency in Python, plus experience in at least one additional production language (e.g., Java or C++)
• Experience designing scalable AI architectures and integrating them into existing products and platforms
• Experience with ML/AI frameworks (PyTorch, TensorFlow/Keras, Scikit-learn) and LLM orchestration tools (LangChain, LangGraph, etc.)
• Familiarity with containerized deployments (Docker, Kubernetes) and cloud platforms
• Strong problem-solving skills and fluency in English
• Familiarity with S/W development practices and verification frameworks (git, Gitlab, GitHub, CircleCI, Sonar, Jenkins, etc.)

Nice to have

• 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)

Personal Characteristics

• Strong ownership and accountability
• Excellent analytical and critical thinking skills
• Balance of strategic thinking and hands-on execution
• Clear communicator and collaborative team player
• Curious, proactive, and continuous learning with a passion for AI and emerging technologies
• Comfortable working in a dynamic environment with evolving requirements

Benefits:
INTRACOM TELECOM offers an excellent working environment that fosters team spirit, collaboration and continuous learning. Career progression is based on performance and we provide competitive remuneration aligned with our core belief: "Our competitive advantage is our human capital."

Additional benefits include:
✔ Continuous training and professional development to stay ahead of technological advancements.
✔ An equal opportunity workplace that values diversity, ensuring fair treatment regardless of ethnicity, nationality, religion, disability, gender, sexual orientation, union membership, political affiliation, or age.