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Highly Skilled Data Scientist Wanted
2 weeks ago
Key Responsibilities:
- Design, implement, and fine-tune data models using Python libraries such as TensorFlow, PyTorch, or scikit-learn to solve real-world problems.
- Develop 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 machine learning 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.
- Craft clean, modular, and maintainable Python code, adhering to best practices, and optimize for performance and scalability in production environments.
- Work closely with cross-functional teams to translate requirements into technical solutions, contributing to architectural decisions and innovative strategies.
- 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 data 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.
- 2+ years working with generative AI models (e.g., LLMs, GANs, or diffusion models).
Why Choose Us?
- Work on cutting-edge AI and graph-based projects with real-world impact.
- Collaborate with a talented global team in a supportive environment.
- Competitive salary and comprehensive benefits.
- Access to state-of-the-art tools and technologies.