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4 месяца назад

Python AI Engineer (AI)

Формат работы
onsite
Тип работы
project
Грейд
senior
Английский
b2
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Python AI Engineer (AI): Designing, building, and maintaining scalable APIs and backend services to transform business needs into high-performance, responsive AI tools with an accent on integrating and fine-tuning Large Language Models using Hugging Face APIs and vector databases. Focus on creating efficient, secure AI-powered workflows and deploying machine learning models for fast, reliable inference in production.

Company

hirify.global is a leading mobile marketing company founded in 2009, with over 200 employees across 65+ countries, specializing in mobile performance-based advertisement and product portfolio development.

What you will do

  • Design, build, and maintain scalable APIs using FastAPI with secure authentication and rate-limiting.
  • Develop and manage backend services using the Django framework.
  • Create efficient, secure workflows for AI-powered tools using LangGraph for task orchestration.
  • Integrate and fine-tune Large Language Models (LLMs) using Hugging Face APIs and vector databases.
  • Fine-tune models such as RoBERTa for text classification and AI detection.
  • Manage relational data with PostgreSQL and implement vector search with LLMs.
  • Build containerized applications using Docker and manage scalable deployments with Kubernetes.

Requirements

  • Must be able to demonstrate skills in Python and AI.
  • 3+ years of experience.
  • Advanced Python programming skills.
  • Experience with the Django framework and PostgreSQL database management.
  • Proficiency with PyTorch, FastAPI, and pydantic.
  • Experience with vector databases and LLM-based semantic search.
  • Familiarity with Hugging Face APIs and hosted-model integrations.
  • Hands-on experience with Docker and Kubernetes.
  • Practical knowledge of secure and scalable API development.

Nice to have

  • Experience fine-tuning models on AI-generated text for domain-specific tasks.
  • Familiarity with transformer-based model pipelines, semantic similarity, and text classification.
  • Understanding of modern software engineering practices, including CI/CD workflows.

Culture & Benefits

  • Work with a diverse team of over 25 nationalities across 65+ countries.
  • Embrace the "Triple E Philosophy": Be the Energetic and Entrepreneurial Expert.
  • Opportunity to be at the forefront of innovation, working on projects involving cutting-edge machine learning and natural language processing.

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