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Location
In office
Seniority
Junior · 1+ year exp

Confirmed on the employer's own hiring board on Oct 15, 2026. First seen by Alion on Apr 9, 2026.

Overview
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Impact
Profile match
English Arabic About Integral Technologists Channeling business strategies and long term goals, combined with locally rooted understanding, we design bespoke technology systems that serve current business needs and enable leaders to translate their vision and set a path of innovation for their business, their team and their partners.
  • Neogenesis

  • Amman , Jordan

Data Scientist & AI Engineer

Full - Time

1-2 years of experience

Job Overview

We are looking for a talented and motivated Data Scientist & AI Engineer to join our team. In this role, you will be responsible for analyzing complex data, building machine learning models, and developing AI-driven solutions that support business decision-making and enhance products and services.

Key Responsibilities

  • Analyze large datasets to extract actionable insights and trends

  • Design, develop, and deploy machine learning and AI models

  • Build predictive models and data-driven solutions

  • Collaborate with cross-functional teams to understand business needs

  • Clean, preprocess, and validate data for analysis

  • Monitor and optimize model performance over time

  • Translate business requirements into technical solutions

  • Stay up to date with the latest AI and data science trends and technologies

Requirements

Bachelor’s degree in Computer Science, Data Science, AI, or a related field

Proven experience in data science, machine learning, or AI engineering

Strong knowledge of Python (Pandas, NumPy, Scikit-learn, TensorFlow or PyTorch)

Experience with data visualization tools (Power BI, Tableau, etc.)

Understanding of statistics and predictive modeling

Experience working with databases (SQL, NoSQL)

Strong problem-solving and analytical skills

Good communication and teamwork abilities

What We Offer

Growth and learning opportunities

Supportive and collaborative environment

Exposure to diverse clients and industries

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