Python AI Engineer

2 недель назад

Дистанційно, Украина Intetics Inc Полный рабочий день 104 000 $ - 130 878 $ в год

Intetics is a global technology company providing custom software application development, distributed professional teams, software product quality assessment, and "all-things-digital" solutions. Based on our proprietary business model of Remote In-Sourcing, advanced Technical Debt Reduction Platform (TETRA), and measurable quality management platform (Predictive Software Engineering), Intetics enables clients to achieve measurable business results.

Position Details
  • Position: AI Engineer
  • Seniority: Middle / Senior
  • Tech Stack: Python, Azure, DevOps, TensorFlow, AWS, GCP, AI, ML, NLP
  • Location: Remote
  • Start Date: ASAP
  • Duration: Long-term

Role Description
- We are looking for an AI Engineer to design, develop, and deploy next-generation AI solutions. This role involves building and optimizing ML/DL/GenAI models, leveraging cloud infrastructure, and implementing modern MLOps practices. You will collaborate with a cross-functional team, contribute to solution architecture, and help shape AI-driven products that deliver real business value.

Requirements

  • Develop, train, and optimize ML/DL/GenAI models (NLP, personalization, recommendation, content generation, automation).
  • Implement scalable deployment of models using MLOps/AIOps principles.
  • Work with cloud platforms (AWS, GCP, Azure) to ensure reliable, cost-effective solutions.
  • Maintain high-quality code standards and contribute to best engineering practices.
  • Research and integrate emerging AI/ML/GenAI trends into solutions.

Requirements:

  • 3–5 years of experience in AI/ML development.
  • Strong proficiency in Python, TensorFlow, PyTorch, Scikit-learn.
  • Hands-on experience with vector databases, REST API, Docker/Kubernetes, and CI/CD pipelines.
  • Ability to lead technical decisions and communicate effectively with team members and stakeholders.

Nice to have:

  • Practical experience with GenAI integration into products and workflows.

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