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Machine Learning Solution Architect

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Job Title: Artificial Intelligence Specialist

We are seeking a highly skilled professional to design, develop and deploy robust AI solutions in financial services. The ideal candidate will collaborate with cross-functional teams to drive innovation.

Key Responsibilities:
  • Develop and optimize machine learning models using Python libraries such as TensorFlow, PyTorch or scikit-learn to solve real-world financial problems.
  • Build and optimize graph-based algorithms and data structures using libraries like NetworkX or PyG (PyTorch Geometric) for applications such as network analysis, fraud detection or knowledge graphs.
  • Write complex SQL queries to manage, transform and analyze large datasets, ensuring efficient data pipelines and integration with databases like PostgreSQL, MySQL or SQLite.
  • Design and implement generative AI models (e.g., LLMs, GANs or VAEs) using frameworks like Hugging Face, LangChain or custom solutions for tasks such as text generation, data augmentation or synthetic data creation.
Required Skills and Qualifications:
  • Education: Bachelor's or Master's degree in Computer Science, Data Science, Mathematics or a related field. PhD is a plus.
  • Experience:
  • 5+ years of professional Python programming experience.
  • 3+ years of hands-on experience in machine learning model development and deployment.
  • Proven expertise in graph algorithms, graph databases (e.g., Neo4j) or graph-based machine learning.
  • Strong proficiency in SQL and relational database management.