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Angie Z.

Dubai, United Arab Emirates

6 years experience

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Available in 2 weeks

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Min H.

Dubai, United Arab Emirates

4 years experience

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Sohail M.

Abu Dhabi, United Arab Emirates

9 years experience

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Peng Z.

Dubai, United Arab Emirates

3 years experience

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Andrew C.

Sharjah, United Arab Emirates

7 years experience

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Xinran L.

Dubai, United Arab Emirates

5 years experience

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Tell us the role, the must-haves and the budget. We turn that into a scorecard your interviewers actually use.

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Candidates are screened against the scorecard rather than keyword-matched, so every profile is worth your time.

Interview with structure

Same questions, same rubric, every candidate. Scheduling, panels and scoring all run in one place.

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Compare scored candidates side by side, then track the offer through acceptance to the agreed start date.

01
About the role
02
Source and shortlist
03
Structured interview
04
Progression and salary
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About the role

  • Job Title: AI Researcher
  • Job Summary: We are looking for a passionate and innovative AI Researcher to join our team. You will be responsible for conducting advanced research and developing AI models that drive our products and solutions. Your work will involve exploring new AI methodologies, collaborating with cross-functional teams, and contributing to our mission of leveraging AI to solve complex challenges in the healthcare industry.
  • Requirements:some text
    • PhD or Master’s degree in Computer Science, AI, Machine Learning, or related field
    • 3+ years of experience in AI research, with a focus on machine learning or deep learning
    • Proficiency in programming languages such as Python and R
    • Strong background in AI algorithms, data analysis, and model development
    • Experience with AI research tools and platforms (e.g., TensorFlow, PyTorch)
  • Responsibilities:some text
    • Conduct research on advanced AI algorithms and techniques
    • Develop and implement machine learning models to solve real-world problems
    • Collaborate with cross-functional teams to integrate AI solutions into products
    • Stay updated on the latest advancements in AI and machine learning
    • Publish research findings and present at industry conferences
  • Must-Have Skills:some text
    • Soft Skills: Analytical thinking, problem-solving, communication skills, research skills, attention to detail
    • Hard Skills: Machine learning, deep learning, AI algorithms, data analysis, programming (Python, R)

Source and shortlist

  • Professional network
    • Leverage your professional network and reach out to former colleagues, industry peers, and tech community members to ask for referrals.
  • Educational Institutions:
    • Engage with top institutions known for AI research
    • Collaborate with or recruit from AI research labs at universities or specialized institutions.
  • Company Career Pages:
    • Your Company’s Career Page: Ensure it is optimized for SEO to attract AI Researcher candidates. Highlight the innovative projects and the impact of AI within your organization.
  • Role-Specific Job Boards:
    • AI-specific job boards:
    • General tech job boards:
      • Indeed
      • Glassdoor
  • Geography-Specific Job Boards:

Structured interview

  • Question: "Describe the steps you took to preprocess the healthcare dataset before feeding it into your machine learning model."
    • Expected Answer: The candidate should mention steps like handling missing values, normalizing or standardizing features, and splitting the data into training and testing sets.
    • Sample Answer: "I began by identifying and handling missing values through imputation, then normalized the numerical features to ensure they were on a similar scale. Finally, I split the dataset into 70% training and 30% testing data to validate the model’s performance."
  • Question: "Which machine learning model did you choose, and why did you select it for this healthcare dataset?"
    • Expected Answer: The candidate should justify the choice of model based on the dataset characteristics, problem type, and expected outcomes.
    • Sample Answer: "I chose logistic regression because the problem was a binary classification task. The simplicity and interpretability of logistic regression made it a suitable choice for predicting patient outcomes."
  • Question: "How did you evaluate the performance of your model, and what were the results?"
    • Expected Answer: The candidate should discuss evaluation metrics such as accuracy, precision, recall, F1-score, and explain the results.
    • Sample Answer: "I evaluated the model using accuracy and F1-score as the primary metrics. The model achieved an accuracy of 85% and an F1-score of 0.82, indicating a good balance between precision and recall."

Progression and salary

Level United States (USD) Europe (EUR) India (INR) UAE (AED)
Junior AI Researcher $70,000 - $90,000 €50,000 - €70,000 ₹800,000 - ₹1,200,000 AED 200,000 - AED 300,000
AI Researcher $90,000 - $120,000 €70,000 - €90,000 ₹1,200,000 - ₹2,000,000 AED 300,000 - AED 450,000
Senior AI Researcher $120,000 - $150,000 €90,000 - €120,000 ₹2,000,000 - ₹3,500,000 AED 450,000 - AED 600,000
Principal AI Researcher $150,000 - $180,000 €120,000 - €150,000 ₹3,500,000 - ₹5,000,000 AED 600,000 - AED 750,000
Head of AI Research $180,000 - $250,000 €150,000 - €200,000 ₹5,000,000 - ₹7,000,000 AED 750,000 - AED 1,000,000
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