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Data Scientist / Senior Machine Learning Engineer

AT Arrow Electronics
Arrow Electronics

Data Scientist / Senior Machine Learning Engineer

Cairo, Egypt

Position:
Data Scientist / Senior Machine Learning Engineer

Job Description:

Position Overview:

As Data Scientist / Senior Machine Learning Engineer at Arrow Electronics, you will assume a pivotal role in driving our data science and machine learning initiatives to reach unprecedented heights. Collaborating closely with cross-functional multinational teams, your responsibilities will encompass the end-to-end machine learning lifecycle, including stakeholder communications, data analysis, designing, development, deployment, and optimization of cutting-edge models aimed at addressing intricate challenges and generating actionable insights. Your expertise in data analysis, model development, and deployment will be crucial in shaping the future of our company.

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Key Responsibilities:

1. Machine Learning Model Development: Design, develop, and implement advanced machine learning models and algorithms to solve real-world problems in various domains.

2. Data Analysis: Explore and analyze large datasets to extract meaningful insights and identify trends, anomalies, and patterns.

3. Model Evaluation: Evaluate the performance of machine learning models using appropriate metrics and fine-tune models for optimal results.

4. Deployment: Lead the deployment of machine learning models into production environments and ensure scalability and efficiency.

5. Cross-functional Collaboration: Collaborate closely with business stakeholders, software engineers, data engineers, and domain experts to integrate machine learning solutions into our products and services.

6. Mentorship: Provide guidance and mentorship to junior data scientists and machine learning engineers, fostering a culture of continuous learning and growth.

7. Research and Innovation: Stay up-to-date with the latest advancements in the field of data science and machine learning and apply innovative techniques to solve complex challenges.

Qualifications:

  • Proven experience (2 to 5 years) in developing and deploying machine learning models in a production environment.
  • Proficiency in programming languages, especially Python, and experience with data-related libraries such as pandas, matplotlib, NumPy, etc.
  • Strong knowledge of machine learning frameworks and libraries.
  • Expertise in data preprocessing, feature engineering, and model selection.
  • Familiarity with large language models and AI agent design.
  • Experience with text-based NLP, information extraction, entity recognition, and text-related data science tasks is highly desirable.
  • Strong communication skills and the ability to convey technical concepts to non-technical stakeholders.
  • Experience with vectorized databases and unstructured search engines is a plus.
  • A Master's degree in computer science, Statistics, Data Science, or a related field is a plus.
  • Publications or contributions to open-source projects are a plus.

If you are a passionate and experienced Data Scientist / Senior Machine Learning Engineer who thrives on solving challenging problems and wants to make a significant impact in the field, we encourage you to apply and join our dynamic team at Arrow Electronics Together, we will drive innovation and shape the future of data science and machine learning.

Location:
EG-Cairo, Egypt (Al Emdad & Al Tamween)

Time Type:
Full time

Job Category:
Information Technology

Client-provided location(s): Cairo, Cairo Governorate, Egypt
Job ID: Arrow_Electronics-16338_R230140
Employment Type: Full Time

Perks and Benefits

  • Health and Wellness

    • Health Insurance
    • Health Reimbursement Account
    • Dental Insurance
    • Vision Insurance
    • Life Insurance
    • Short-Term Disability
    • Long-Term Disability
    • FSA
    • FSA With Employer Contribution
    • HSA
    • HSA With Employer Contribution
    • Fitness Subsidies
    • On-Site Gym
  • Work Flexibility

    • Flexible Work Hours
    • Remote Work Opportunities
  • Office Life and Perks

    • Casual Dress
    • Snacks
    • Company Outings
    • On-Site Cafeteria
  • Vacation and Time Off

    • Paid Vacation
    • Unlimited Paid Time Off
    • Paid Holidays
    • Personal/Sick Days
    • Sabbatical
    • Leave of Absence
    • Volunteer Time Off
  • Financial and Retirement

    • 401(K)
    • 401(K) With Company Matching
  • Professional Development

    • Internship Program
    • Promote From Within
    • Tuition Reimbursement
    • Mentor Program
    • Access to Online Courses
  • Diversity and Inclusion

    • Diversity, Equity, and Inclusion Program