Artificial Intelligence Engineer
@ Confidential

Hybrid
$120,000
Hybrid
Full Time
Posted 4 days ago

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Job Details

About the Role

The Artificial Intelligence Engineer will design, develop, and deploy AI-driven solutions that power next-generation digital products within an international software company. This remote role covers the EMEA region.

Key Responsibilities

  • Design, build, and optimize machine learning and AI models.
  • Collaborate with data scientists, software engineers, and product managers.
  • Research and implement new algorithms and frameworks.
  • Analyze and preprocess large datasets for model accuracy.
  • Develop and maintain APIs, pipelines, and cloud-based environments.
  • Monitor and continuously improve model performance.
  • Stay updated with emerging trends in AI and machine learning.

Qualifications

  • Bachelor’s or Master’s degree in a relevant field.
  • 3–6 years of experience in AI engineering or applied data science.
  • Proficiency in Python and frameworks like TensorFlow, PyTorch, or Scikit-learn.
  • Strong understanding of neural networks, NLP, computer vision, and statistical modeling.
  • Experience with cloud platforms (AWS, Azure, or GCP) and MLOps tools.
  • Excellent problem-solving and communication skills.
  • Fluency in English; additional EMEA languages are a plus.

What’s Offered

This full-time remote role offers opportunities to work on innovative global software projects, a competitive salary and benefits package, a collaborative work environment, and professional growth opportunities.

Key skills/competency

  • Artificial Intelligence
  • Machine Learning
  • Python
  • TensorFlow
  • PyTorch
  • Cloud
  • MLOps
  • Data Science
  • APIs
  • Algorithms
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How to Get Hired at Confidential

🎯 Tips for Getting Hired

  • Customize your resume: Highlight AI and ML project experiences.
  • Research the company: Understand its technology and culture.
  • Showcase relevant skills: Emphasize Python and cloud experience.
  • Prepare for technical interviews: Practice coding and AI case studies.
  • Engage via LinkedIn: Connect with current employees for insights.

📝 Interview Preparation Advice

Technical Preparation

Review Python and ML libraries.
Study cloud deployment best practices.
Practice coding on AI challenges.
Understand API and MLOps fundamentals.

Behavioral Questions

Describe teamwork in project challenges.
Explain handling tight deadlines.
Discuss learning from failures.
Share communication in technical settings.

Frequently Asked Questions