AI Software Developer

We are seeking a skilled AI Engineer to develop and optimize machine learning models using Python libraries such as TensorFlow, PyTorch, or scikit-learn. The ideal candidate will have a strong foundation in graph algorithms, SQL, and generative AI.

The successful applicant will design, implement, and fine-tune machine learning models to solve real-world financial problems. They will also 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.

Apart from developing and deploying AI models, the selected individual will write complex SQL queries to manage, transform, and analyze large datasets, ensuring efficient data pipelines and integration with databases like PostgreSQL, MySQL, or SQLite.

They will also 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.

Key Responsibilities:

• Develop and Optimize ML Models: Design, implement, and fine-tune machine learning models using Python libraries such as TensorFlow, PyTorch, or scikit-learn to solve real-world financial problems.
• Graph-Based Solutions: 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.
• SQL and Data Management: Write complex SQL queries to manage, transform, and analyze large datasets, ensuring efficient data pipelines and integration with databases like PostgreSQL, MySQL, or SQLite.
• Generative AI Development: 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.
• Code Quality and Scalability: Write clean, modular, and maintainable Python code, adhering to best practices, and optimize for performance and scalability in production environments.

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.
• 2+ years working with generative AI models (e.g., LLMs, GANs, or diffusion models).

Technical Skills:

• Expert-level Python programming (e.g., Pandas, NumPy, scikit-learn, TensorFlow, PyTorch).
• 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).
• Proficiency in version control (Git), CI/CD pipelines, and containerization (Docker).

Soft Skills:

• Strong problem-solving and analytical skills.
• Excellent communication and collaboration abilities.
• Ability to work in a fast-paced, innovative environment.

Benefits:

• Work on cutting-edge AI and graph-based projects with real-world impact in the financial sector.
• Collaborate with a talented, global team in a supportive and innovative environment.
• Competitive salary and comprehensive benefits.
• Access to state-of-the-art tools and technologies to fuel your expertise.