Senior Data Scientist

📋 Description Design algorithms for classification, detection, segmentation, regression, and anomaly detection. Prototype LLM-based and multimodal systems for document understanding and retrieval. Design agentic AI systems, including task agents, workflow orchestration, and autonomous reasoning. Own end-to-end ML lifecycle: data prep, training, deployment, and maintenance; champion MLOps. Collaborate with data/software engineers to integrate AI-enabled products; establish monitoring. Mentor juniors and stay current with AI research; contribute to internal knowledge sharing. 🎯 Requirements 5–10 years of hands-on experience in classification, detection, and segmentation (classical and DL). Proven track record deploying and scaling end-to-end ML pipelines in enterprise. Hands-on LLM applications: GPT, Llama, Falcon, Claude; fine-tuning, RAG, domain adaptation. Experience designing agentic AI systems (task-oriented agents, workflow orchestration, autonomy). Experience collaborating in cross-functional teams and communicating results to stakeholders. Strong foundation in applied mathematics, probability, and statistics for ML/DL. 🎁 Benefits Work with a leading financial derivatives institution. Competitive salary plus incentives. International, fast-growing environment. Strong career progression within a global financial group. Focus on innovation, excellence, and long-term growth. Join Aperture Cloud's international community.