
AI Innovation Specialist
2 days ago
Job Title: AI Innovation Specialist
DescriptionWe are seeking a highly skilled and innovative professional to join our team as an AI Innovation Specialist. This role involves designing, developing, and deploying robust and scalable artificial intelligence solutions that drive business growth and innovation.
The ideal candidate will have a strong foundation in machine learning, graph algorithms, SQL, and generative AI. They will work closely with cross-functional teams to translate business requirements into technical solutions, contributing to architectural decisions and innovative AI strategies.
- Data Analysis and Visualization: Design and implement data visualization tools using libraries like Matplotlib or Seaborn to communicate insights and trends to stakeholders.
- Machine Learning Model Development: Develop and optimize machine learning models using Python libraries such as TensorFlow, PyTorch, or scikit-learn to solve real-world 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.
- 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.
- Cross-Functional Collaboration: Work closely with data scientists, engineers, and business 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. 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.
- 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.
Benefits
This role offers a competitive salary and benefits package, as well as opportunities for career growth and professional development.
What We Offer
A dynamic and collaborative work environment, with access to cutting-edge technologies and tools.
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