Artificial Intelligence Engineer
@ Confidential

Remote
$120,000
Remote
Full Time
Posted 5 days ago

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XXXXXXXXX XXXXXXXXX XXXXXXX****** @confidential.com
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Job Details

About the Role

The Artificial Intelligence Engineer is responsible for designing, building, and deploying AI-driven solutions to power next-generation digital products. Working at the intersection of data science, machine learning, and software engineering, you will help enhance product capabilities, improve decision-making, and drive automation.

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 deployment environments.
  • Monitor and continuously improve model performance post-deployment.
  • Stay current with emerging AI/ML trends and technologies.

Qualifications

Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or related field with 3–6 years of experience in AI engineering, machine learning, or applied data science. Proficiency in Python and frameworks such as TensorFlow, PyTorch, or Scikit-learn is required. Solid knowledge in neural networks, natural language processing, computer vision, and statistical modeling, plus experience with cloud platforms (AWS, Azure, or GCP) and MLOps tools.

What’s Offered

This full-time remote role is open to professionals across the EMEA region. It offers an opportunity to work on innovative global software projects leveraging advanced AI technologies, along with a competitive salary, benefits package, and professional growth opportunities in a diverse and collaborative environment.

Key skills/competency

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

🎯 Tips for Getting Hired

  • Customize your resume: Tailor skills to AI and ML experience.
  • Highlight projects: Emphasize hands-on model development.
  • Include relevant keywords: Use Python, TensorFlow, cloud platforms.
  • Prepare for interviews: Practice explaining AI algorithms clearly.

📝 Interview Preparation Advice

Technical Preparation

Review Python and AI frameworks.
Practice modeling and API integrations.
Test deployment on cloud platforms.
Study MLOps and algorithm optimization.

Behavioral Questions

Describe a challenging AI project.
Explain teamwork in cross-functional settings.
Discuss problem-solving under pressure.
Outline communication of technical ideas.

Frequently Asked Questions