ML/AI Engineer

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.