Data Scientist / Senior Machine Learning Engineer

Posted Yesterday
Be an Early Applicant
2 Locations
In-Office or Remote
Senior level
Cloud • Enterprise Web • Hardware • Information Technology • Internet of Things • Robotics • Semiconductor
A global provider of technology products, services, and solutions.
The Role
Design, develop, evaluate, and deploy machine learning models; analyze large datasets; collaborate with cross-functional teams to integrate ML solutions; mentor junior staff; research and apply state-of-the-art techniques including LLMs and NLP.
Summary Generated by Built In
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.

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

Skills Required

  • 2 to 5 years experience developing and deploying machine learning models in production
  • Proficiency in Python
  • Experience with data libraries such as pandas, matplotlib, NumPy
  • 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
  • Strong communication skills to convey technical concepts to non-technical stakeholders
  • Experience with text-based NLP, information extraction, and entity recognition
  • Experience with vectorized databases and unstructured search engines
  • Master's degree in Computer Science, Statistics, Data Science, or related field
  • Publications or contributions to open-source projects

Arrow Electronics, Inc. Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Arrow Electronics, Inc. and has not been reviewed or approved by Arrow Electronics, Inc..

  • Healthcare Strength Healthcare offerings are positioned as robust, with multiple medical plan options and access to telemedicine, EAP, and wellbeing programs. Income-banded premium support is described as helping keep the base plan more affordable for lower earners.
  • Leave & Time Off Breadth Time-off programs include unlimited PTO for U.S. salaried employees alongside accrual-based vacation and sick programs for hourly staff. Paid parental leave is described as available with a defined fully paid period for new parents.
  • Parental & Family Support Family-focused supports include subsidized back-up childcare and eldercare days and dependent-care spending options. These offerings add practical value beyond base pay, particularly for caregivers.

Arrow Electronics, Inc. Insights

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The Company
HQ: Centennial, CO
22,000 Employees
Year Founded: 1935

What We Do

A Fortune 500 company, ranked #133 in 2024, with over 22,000 employees worldwide, Arrow guides innovation forward for over 220,000 leading technology manufacturers and service providers. With 2023 sales of $33 billion, Arrow develops technology solutions that improve business and daily life. Arrow.com is the easiest place for innovators to create, make and manage technology.

Why Work With Us

Arrow is much more than products and services. We are a team of many backgrounds in a global ecosystem, working toward one common goal: to help customers create a better tomorrow, where innovation improves the quality of life and the benefits of technology are more accessible to all. Join us in building a better tomorrow for many!

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