
AI Developer Position
1 week ago
We are seeking a skilled Lead AI Developer with expertise in machine learning, graph algorithms, and database management.
- Main Responsibilities:
- Design, implement, and fine-tune machine learning models using Python libraries such as TensorFlow, PyTorch, or scikit-learn to solve real-world 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 with cross-functional teams to translate requirements into technical solutions, contributing to architectural decisions and innovative AI strategies.
- Education:
- Bachelor's or Master's degree in Computer Science, Data Science, Mathematics, or a related field.
- 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.
- 2+ years working with generative AI models (e.g., LLMs, GANs, or diffusion models).
Why This Role?
- Work on cutting-edge AI projects with real-world impact.
- Collaborate with a talented global team in a supportive environment.
- Access to state-of-the-art tools and technologies.
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