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About the role
Technical Specialist-App Development Area(s) of responsibility 6+ years of experience in Gen erative AI, focusing on LLMs, NLP techniques, and financial applications. Experience: Proficiency in Gen AI frameworks like LangChain, LlamaIndex, Hugging Face, etc. Strong understanding of Gen erative AI deployment strategies, including pilot programs, technical assessments, and governance planning. Expertise in Gen AI Ops: managing the lifecycle of Gen erative AI models, including model deployment, monitoring, versioning, and optimization. Hands-on experience in Retrieval-Augmented Gen eration (RAG) to connect gen erative models to external data sources for improved performance and accuracy. Understanding of financial datasets and use cases, including financial reporting, risk management, and fraud detection. Proficiency in Python, with deep knowledge of machine learning frameworks (e.g., TensorFlow, PyTorch, scikit-learn, pandas, NumPy). Familiarity with cloud-based platforms like AWS, Azure, or Google Cloud for AI model deployment. Knowledge of MLOps, Gen AIOps practices, including version control, experiment tracking, and model monitoring. Strong communication skills, with the ability to explain complex AI concepts to non-technical stakeholders. Analytical mindset with a focus on innovation and solving complex financial problems using AI. Experience Level Senior Level .
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