
Machine Learning Professional
9 hours ago
Job Title: AI Engineer - Machine Learning Expert
Position OverviewWe are seeking a highly skilled AI engineer with expertise in machine learning, graph algorithms, SQL, and generative AI to design, develop, and deploy cutting-edge AI solutions.
Key Responsibilities- Develop and Optimize AI Models: Design, implement, and fine-tune AI 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.
- Collaboration and Innovation: Work closely with data scientists, engineers, and business teams to translate requirements into technical solutions, contributing to architectural decisions and innovative AI strategies.
- Data Pipeline Development: Build and maintain ETL pipelines to preprocess and integrate data for AI and graph-based applications, using tools like Apache Airflow or Pandas.
- Model Deployment: Deploy AI and generative AI models to production environments using tools like Docker, Kubernetes, or cloud platforms (AWS, GCP, Azure).
- Research and Stay Current: Stay updated on advancements in machine learning, graph theory, and generative AI, applying cutting-edge techniques to enhance project outcomes.
A competitive salary and benefits package, opportunities for professional growth and development, and a collaborative work environment that fosters innovation and creativity.
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