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functional-programming

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<html><body>10-15 years of relevant experience in Apps Development or systems analysis role, with a significant portion dedicated to AI/ML and demonstrable hands-on experience in designing, building, Proficiency in at least two programming languages. Strong preference for Python, with significant experience in Javascript/Typescript and Golang being highly valued. Demonstrated deep hands-on experience in engineering and deploying enterprise-grade solutions that are highly scalable, resilient, and performant. Strong theoretical and practical understanding of Large Language Models (LLMs), including experience with various open-source and proprietary models, fine-tuning techniques, and deployment strategies. Proficiency with transformers, agentic frameworks (critical for business process automation), vector stores (e.g., Pinecone, FAISS, ChromaDB), and advanced search algorithms. Hands-on experience with Retrieval Augmented Generation (RAG) implementations. Experience with relevant GenAI/ML frameworks such as LangChain, LangGraph, MLFlow, Spring AI, Spring Boot, and Flask. Extensive experience with data analysis and manipulation using tools like SQL and Pandas. Proficiency in database technologies including Oracle, Postgres, or MongoDB. Proven experience in designing and implementing robust REST and WebSocket APIs. Experience with messaging and integration platforms like Kafka or JMS/MQ. UI development skills with technologies such as React JS or Streamlit. Demonstrated ability to design, develop, and deploy GenAI and Agentic AI solutions into production environments. Experience with MLOps principles and tools is a significant advantage. Extensive experience in system analysis and in programming of software applications, with deep expertise in Python for AI/ML development. Experience in managing and implementing successful projects; demonstrated leadership and project management skills within an agile development framework. Subject Matter Expert (SME) in at least one area of Applications Development or AI/ML domain, with a strong understanding of financial services concepts preferred. Ability to adjust priorities quickly as circumstances dictate in a fast-paced environment</body></html>

10-15 years of relevant experience in Apps Development or systems analysis role, with a significant portion dedicated to AI/ML and demonstrable hands-on experience in designing, building, Proficiency in at least two programming languages. Strong preference for Python, with significant experience in Javascript/Typescript and Golang being highly valued. Demonstrated deep hands-on experience in engineering and deploying enterprise-grade solutions that are highly scalable, resilient, and performant. Strong theoretical and practical understanding of Large Language Models (LLMs), including experience with various open-source and proprietary models, fine-tuning techniques, and deployment strategies. Proficiency with transformers, agentic frameworks (critical for business process automation), vector stores (e.g., Pinecone, FAISS, ChromaDB), and advanced search algorithms. Hands-on experience with Retrieval Augmented Generation (RAG) implementations. Experience with relevant GenAI/ML frameworks such as LangChain, LangGraph, MLFlow, Spring AI, Spring Boot, and Flask. Extensive experience with data analysis and manipulation using tools like SQL and Pandas. Proficiency in database technologies including Oracle, Postgres, or MongoDB. Proven experience in designing and implementing robust REST and WebSocket APIs. Experience with messaging and integration platforms like Kafka or JMS/MQ. UI development skills with technologies such as React JS or Streamlit. Demonstrated ability to design, develop, and deploy GenAI and Agentic AI solutions into production environments. Experience with MLOps principles and tools is a significant advantage. Extensive experience in system analysis and in programming of software applications, with deep expertise in Python for AI/ML development. Experience in managing and implementing successful projects; demonstrated leadership and project management skills within an agile development framework. Subject Matter Expert (SME) in at least one area of Applications Development or AI/ML domain, with a strong understanding of financial services concepts preferred. Ability to adjust priorities quickly as circumstances dictate in a fast-paced environment

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