About the Role
Join Tether and Shape the Future of Digital Finance. At Tether, we’re building infrastructure that powers the future of digital finance, blockchain technology, and AI systems. We are seeking a Machine Learning Systems Engineer to design, build, and scale ML infrastructure supporting our AI-driven financial products.
This Machine Learning Systems Engineer position at Tether.io in United Arab Emirates is an excellent opportunity for professionals looking to advance their careers in AI & ML within the UAE’s thriving job market.
Key Responsibilities
- Design and implement scalable ML pipelines and model serving infrastructure
- Build data preprocessing, feature engineering, and model training workflows
- Deploy ML models to production with monitoring and observability
- Optimize model performance, latency, and throughput at scale
- Collaborate with data scientists to productionize research models
- Contribute to MLOps practices and tooling selection
Skills Required
- 3+ years of ML engineering experience in production environments
- Strong Python skills with ML frameworks (PyTorch, TensorFlow, JAX)
- Experience with MLOps tools: MLflow, Kubeflow, Ray, or similar
- Knowledge of distributed systems and cloud infrastructure (AWS/GCP/Azure)
- Familiarity with containerization (Docker, Kubernetes)
- Solid understanding of ML algorithms and model evaluation metrics
- Experience with LLMs, transformers, or generative AI systems
- Blockchain or fintech domain knowledge
Preferred Qualifications
- Additional certifications or experience in AI & ML are advantageous.
Why Consider This Role?
- Work with Tether.io, a leading organisation in the UAE
- Based in United Arab Emirates — one of the world’s most dynamic business hubs
- Gain exposure to a high-growth sector: AI & ML
- Competitive compensation and career advancement opportunities
- Be part of a diverse, international team driving real-world impact
How to Increase Your Chances
- Tailor your CV to highlight experience directly relevant to the Machine Learning Systems Engineer role
- Quantify achievements where possible — use numbers, percentages, and outcomes
- Research Tether.io thoroughly and reference their values in your cover letter
- Make sure your LinkedIn profile is complete and matches your CV
- Apply early — roles in UAE often fill quickly
- Prepare for competency-based interview questions with specific examples
How to Apply
This role is listed on LinkedIn. Click the button below to view the full job description and submit your application directly on LinkedIn.
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