Senior Python AI Engineer

ProxifyProxify·Remote(Time zone: CET (+/- 3 hours))
AI & Machine Learning
Excel

WFA Digital Insight

The demand for AI experts grew significantly in recent years, with a focus on Python and machine learning. Proxify's mission to connect top talent with opportunities is particularly noteworthy, given the company's strong reputation among developers. With the rise of data-driven products, candidates with experience in designing scalable backend systems and APIs are in high demand. Before applying, candidates should be aware of the company's emphasis on collaboration and problem-solving skills.

Job Description

About the Role

Proxify is seeking a Senior Python AI Engineer to join their network, focusing on designing and developing backend systems and APIs for AI-powered applications. The ideal candidate will collaborate closely with cross-functional teams to shape the future of data-driven products.

Responsibilities

  • Design and build scalable backend systems and APIs
  • Collaborate with teams to develop AI-powered applications
  • Utilize deep learning frameworks for custom modeling
  • Work with large language models and prototyping tools

Requirements

  • Strong proficiency in Python (5+ years) with modern frameworks
  • Experience with deep learning frameworks and large language models
  • Strong backend development expertise, including databases and version control
  • Hands-on experience with containerization and cloud platforms

Nice to Have

  • Familiarity with security best practices and cloud platforms
  • Experience with AI/ML and LLM ecosystems, including LLM orchestration frameworks

How to Stand Out

  • Familiarize yourself with Proxify's technology stack and AI-powered applications to stand out in the application process.
  • Showcase your problem-solving skills by providing examples of complex challenges you've addressed in previous roles.
  • Highlight your experience with collaboration tools and version control systems to demonstrate your ability to work effectively in a team.
  • Prepare to discuss your understanding of security best practices and how you handle sensitive data.
  • Be prepared to explain your experience with deep learning frameworks and large language models, and how you've applied them in previous projects.

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