About the Role
We are seeking an AI/ML Engineer to join our UAE office, tasked with designing, building, and deploying machine learning models and AI-powered applications at scale. The successful candidate will develop and productionize ML pipelines, integrate LLM/agent-based solutions, and ensure model reliability and performance in production. You will collaborate with data engineering and analytics teams to source high-quality training data, as well as with product and engineering teams to embed AI capabilities into real-world systems.
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Key Responsibilities
- Design, train, evaluate, and deploy ML models and AI/LLM-based solutions into production
- Build and maintain ML pipelines for training, evaluation, versioning, and serving (MLOps)
- Develop and integrate agentic workflows and LLM-powered applications (e.g., RAG systems, tool-using agents)
- Monitor model performance in production (drift, latency, cost, and quality) and iterate accordingly
- Collaborate with data engineers to define data requirements and ensure ML-ready datasets
- Partner with product and engineering teams to translate business problems into ML/AI solutions
- Uphold responsible AI practices: model evaluation, bias/safety checks, and governance standards
Core Skills & Technologies
Programming
- Python, SQL
- Experience with ML frameworks (PyTorch or TensorFlow)
Cloud Platforms
- Google Cloud Platform (GCP)
- Microsoft Azure
ML/AI Platforms & Tools
- Vertex AI
- BigQuery ML
- Azure Machine Learning
LLM / Generative AI
- Experience with LLM APIs (e.g., Gemini, OpenAI, Anthropic)
- Experience with Agent Development Kit (ADK) or similar agent frameworks
- Familiarity with RAG architectures and vector databases
Model Development & Evaluation
- Experience with the full ML lifecycle: training, evaluation, tuning, deployment
- Familiarity with prompt engineering and LLM evaluation techniques
- Understanding of model monitoring, drift detection, and retraining triggers
MLOps & Infrastructure
- CI/CD for ML pipelines
- Model versioning and experiment tracking (e.g., MLflow, Vertex AI pipelines)
- Containerized deployment (Docker, Kubernetes)
- Infrastructure as Code (e.g., Terraform) is a plus
Nice to Haves
- Equity trading, investment or financial domain expertise
- Experience designing multi-agent systems or complex orchestration workflows
- Track record of taking ML models from prototype to production at scale
- Experience with fine-tuning or custom model training (not just API consumption)
- Familiarity with responsible AI / governance frameworks and model risk management
Languages
- English: Upper-Intermediate (B2) or above
- Ukrainian: Native or fluent proficiency
What We Offer
- Competitive and performance-aligned compensation package
- Clear opportunities for long-term professional growth and strategic career development
- A high-trust, collaborative environment with a strong ownership culture
- Direct exposure to business decision-making with an opportunity to make a meaningful impact
In Addition, We Provide
- Corporate housing access — up to 2–3 weeks of free accommodation per year in Larnaca (Cyprus) for vacations, business trips, or work-related travel
- Comprehensive health insurance, including annual medical check-ups
- Psychological support program (up to four sessions per month)
- Partial compensation for tennis training, gym memberships, other sports activities, rehabilitation, massages, and participation in competitions, including international events
- Partial reimbursement for external professional education and certifications
- Full access to internal educational, cultural, and entertainment initiatives, including guest lectures.
