Related skills
python tensorflow pytorch langchain openai๐ 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.
๐ฏ Requirements
5โ10 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.
๐ 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 MultiBank Group's international community.
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