SFORS is a trading company where traders succeed!
We trade in the global financial markets and are among the key prop trading players and pre-market trading leaders. Our company owes its 20 years of success in the stock market to constantly investing in talent development, trading technologies, progressive risk management models, and effective trading strategies — all of which drive trader success.
SFORS relies exclusively on proprietary funds instead of third-party investments. Our team currently includes over 450 specialists, most of them traders.
Now we are looking for a ML/AI Engineer to join our UAE office.
Role Overview
We are looking for an AI/ML Engineer to design, build, and deploy machine learning models and
AI-powered applications at scale. You will develop and productionize ML pipelines, build and
integrate LLM/agent-based solutions, and ensure models are reliable, performant, and
monitored in production. You'll work closely with data engineering and analytics teams to source
high-quality training data, and with product/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)
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.