About the Role
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We are seeking an AI/ML Engineer to join our UAE office. In this role, you will design, build, and deploy machine learning models and AI-powered applications at scale. Your responsibilities will include developing and productionizing ML pipelines, integrating LLM/agent-based solutions, and ensuring that our models are reliable, performant, and well-monitored in production. You will work closely with data engineering and analytics teams to source high-quality training data, and partner with product and engineering teams to embed AI capabilities into real-world systems.
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), 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.
