(E) AI Engineer (Cloud & Generative AI)

Work set-up: 
Full Remote
Contract: 
Experience: 
Senior (5-10 years)
Work from: 

Offer summary

Qualifications:

Minimum 4 years of experience in AI/ML engineering., Proficiency in Python, TensorFlow, scikit-learn, Docker, and Kubernetes., Strong background in cloud deployment, consulting, and MLOps practices., Fluent in Spanish and English..

Key responsibilities:

  • Lead the development of scalable AI solutions, including traditional ML and Generative AI.
  • Work with cloud platforms such as Azure, AWS, or GCP.
  • Implement end-to-end AI projects, from design to deployment.
  • Collaborate with cross-functional teams to integrate AI solutions.

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Believe Solutions Scaleup http://www.believesol.com/
51 - 200 Employees
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Job description

🚀 We’re hiring: AI Engineer (Cloud & Generative AI)
📍 Remote – July 2025 Start

We’re looking for an experienced AI Engineer to lead end-to-end development of scalable AI solutions, combining traditional ML with Generative AI. If you’ve worked with LLMs, cloud platforms (Azure, AWS, GCP), and AIOps practices – we want to meet you!

✅ 4+ years of experience in AI/ML engineering
✅ Hands-on with Python, TensorFlow, scikit-learn, Docker, Kubernetes
✅ Strong background in consulting, cloud deployment, and MLOps
✅ Fluent in Spanish & English

🎯 Bonus if you have experience with Hugging Face, OpenAI, or cloud certifications.

Required profile

Experience

Level of experience: Senior (5-10 years)
Spoken language(s):
EnglishSpanish
Check out the description to know which languages are mandatory.

Other Skills

  • Communication

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