
Data Scientist
2 days ago
We are seeking a highly skilled professional with expertise in machine learning and graph algorithms to join our team.
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.
- Collaborate closely with cross-functional teams to translate requirements into technical solutions, contributing to architectural decisions and innovative AI strategies.
Required Skills:
- 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.
Benefits:
- Expert-level Python programming skills.
- Experience with graph libraries (e.g., NetworkX, PyG, or DGL) and graph databases.
- Advanced SQL skills for querying and optimizing large datasets.
- Familiarity with generative AI frameworks (e.g., Hugging Face, LangChain, or OpenAI APIs).
Other Opportunities:
- Work on cutting-edge AI projects with the opportunity to apply and develop new skills.
- Join a collaborative and dynamic work environment with access to training and mentorship programs.
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