Search by job, company or skills

  • Posted 9 days ago
  • Be among the first 10 applicants
Early Applicant

Job Description

Company Description

Synolon is an international technology and infrastructure company dedicated to building global digital infrastructure for a more interconnected and automated world. By fostering compatibility across systems, industries, and regions, Synolon reduces friction, increases efficiency, and ensures long-term scalability. With a focus on structure, resilience, and neutrality, it enables reliable communication and coordination between advanced technologies worldwide. Headquartered in Switzerland, with a central operational hub in Dubai and offices in the Netherlands, UAE, and Pakistan, Synolon operates under a robust global governance framework. The company is committed to creating infrastructure that supports today's systems while shaping the future of automation and interoperability.

Role Overview:

Location: Dubai (Onsite)

Type: Full-time

Experience: 7+ years

We are building a large-scale, data-intensive platform and are looking for a senior AI Engineer to design, deploy, and own production-grade AI systems powering data intelligence, validation, and decision-making.

Key Responsibilities

Architect and scale end-to-end AI/ML systems

Build models for entity resolution, data normalization, and anomaly detection

Work with large structured and semi-structured datasets

Deploy and operate AI models in production environments

Collaborate closely with backend and data engineering teams

Requirements

Strong hands-on experience in Machine Learning / Applied AI

Proven record of shipping AI systems to production

Proficiency in Python and ML frameworks (PyTorch, TensorFlow, scikit-learn)

Experience with large datasets and complex data problems

Strong system design and architectural mindset

Nice to Have

LLM experience (RAG, embeddings, agents)

Knowledge graphs, search, or ranking systems

Experience in trust, verification, or compliance-heavy platforms

More Info

Job Type:
Industry:
Employment Type:

About Company

Job ID: 142302363