ML/AI Engineer

Role Overview

ML/AI Engineer at SFORS, a global proprietary trading company based in the UAE office.

Company Overview

SFORS is a prop trading company with 20 years of success in the stock market. The company trades in global financial markets and is among key prop trading players and pre-market trading leaders. SFORS relies exclusively on proprietary funds and currently employs over 450 specialists, most of them traders. The company invests continuously in talent development, trading technologies, progressive risk management models, and effective trading strategies.

Role Purpose

Design, build, and deploy machine learning models and AI-powered applications at scale. Develop and productionize ML pipelines, build and integrate LLM/agent-based solutions, and ensure models are reliable, performant, and monitored in production.

Key Responsibilities

Model Development & Deployment

• 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, including RAG systems and tool-using agents.
• Monitor model performance in production including drift, latency, cost, and quality, and iterate accordingly.

Cross-functional Collaboration

• 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.

Qualifications & Experience

• Experience with the full ML lifecycle: training, evaluation, tuning, and deployment.
• Familiarity with prompt engineering and LLM evaluation techniques.
• Understanding of model monitoring, drift detection, and retraining triggers.
• Experience with LLM APIs such as Gemini, OpenAI, or Anthropic.
• Experience with Agent Development Kit (ADK) or similar agent frameworks.
• Familiarity with RAG architectures and vector databases.
• Experience with CI/CD for ML pipelines.
• Model versioning and experiment tracking experience, such as MLflow or Vertex AI pipelines.
• Containerized deployment experience with Docker and Kubernetes.
• English language proficiency at Upper-Intermediate (B2) level or above.
• Ukrainian language proficiency at Native or fluent level.

Skills & Competencies

Programming & Frameworks

• Python.
• SQL.
• ML frameworks: PyTorch or TensorFlow.

Cloud Platforms

• Google Cloud Platform (GCP).
• Microsoft Azure.

ML/AI Platforms & Tools

• Vertex AI.
• BigQuery ML.
• Azure Machine Learning.

Infrastructure & DevOps

• Docker.
• Kubernetes.
• Infrastructure as Code (Terraform) is a plus.

Additional Information

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 and governance frameworks and model risk management.

Benefits

• Competitive and performance-aligned compensation package.
• Clear opportunities for long-term professional growth and strategic career development.
• High-trust, collaborative environment with a strong ownership culture.
• Direct exposure to business decision-making with opportunity to make meaningful impact.
• 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.