ML Intern: Build & Deploy Real-World Models

dubizzle

Dubai

On-site

AED 28,000 - 39,000

Full time

3 hours ago
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Benefits offered by this job

Mentorship
Career growth
Diversity culture

Job summary

Bayut & dubizzle invites applications for a 6-month Machine Learning Internship within the Business Intelligence department. Mentors, a fast-paced culture, and impactful projects are key highlights of the program.

You will work on end-to-end data science tasks in a cloud-based data warehouse, collaborating with product, tech, and other verticals to drive insights and model deployments.

Qualifications

  • Bachelor’s degree in a quantitative field.
  • Solid understanding of statistical modelling and math.
  • Basic knowledge of machine learning algorithms.
  • Basic knowledge of SQL.
  • Basic knowledge of data visualization tools like Periscope.
  • Strong verbal and written communication skills.
  • Excellent problem-solving abilities.

Responsibilities

  • Query large datasets with SQL and feed ML models.
  • Explore data to identify patterns and assess data quality.
  • Use Python to analyze data and build statistical models.
  • Evaluate and tune ML models for business problems.
  • Collaborate with senior peers to deploy ML models in production.
  • Build customer-facing reporting tools to track system performance.
  • Contribute to a strong team culture and cutting-edge data initiatives.
  • Participate in on-call rotation to support live ML models.

Skills

SQL
Python
Statistics
ML basics
Data visualization
Communication
Problem solving

Education

Bachelor's degree in AI/Statistics/Math/Engineering/CS

Tools

Periscope

Job description

Bayut & dubizzle invites applications for a 6-month Machine Learning Internship within the Business Intelligence department. Mentors, a fast-paced culture, and impactful projects are key highlights of the program.

You will work on end-to-end data science tasks in a cloud-based data warehouse, collaborating with product, tech, and other verticals to drive insights and model deployments.

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