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    • In this role, you will apply scientific and analytical expertise to solve real-world business challenges, leveraging deep knowledge in data science, algorithms,…
    • Specright is seeking a detail-oriented and driven QA Engineer to join our Engineering team.
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    • In this role you will work closely with other senior engineers to design and develop software systems.
    • You will work cross-functionally with teams including…
    • In this role you will work closely with other senior engineers to design and develop software systems.
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    • In this role you will be responsible for designing and developing software systems.
    • You will translate business requirements to technical specifics, accomplish…
    • As a Senior DevOps Engineer, you will have the opportunity to design and manage scalable and resilient cloud-based infrastructure, evaluate and provide…

Job Post Details

Machine Learning Engineer - job post

Specright
5.0 out of 5 stars
Cairo

Job details

Job type

  • Full-time

Location

Cairo

Full job description

Job Title: Machine Learning Engineer

Job Summary

Specright is seeking a highly motivated and talented Machine Learning Engineer to join the Shared Services team. As a Machine Learning Engineer, you will have the opportunity to design, develop, and maintain scalable cloud-based ML pipelines, evaluate and provide recommendations based on best practices, and collaborate with other technical team members.

Specright offers cloud-based software (SaaS) for specification data management to Enterprise and Mid-Market level companies with complex needs. Whether it's packaging, formulas, or products, Specright helps companies reduce costs and empower efficiencies by sharing, analyzing and auditing specifications.

Responsibilities and Duties

  • Design, implement, and maintain ML pipelines to support machine learning model validation and deployment in a cloud-based environment
  • Optimize and enhance existing machine learning systems and data pipelines for improved performance and scalability
  • Collaborate effectively with technical team members to define system requirements and deployment strategies
  • Provide support and troubleshooting to engineers and customers for new and existing deployments
  • Provide support and guidance to other AI/ML team members

Qualifications

  • Highly experienced in designing and managing scalable ML pipelines in a cloud-based environment such as AWS
  • Experience with scripting languages such as Python and Bash
  • Experience with CI/CD platforms such as Jenkins
  • Experience with NLP (e.g. classification, NER, etc.), LLMs, or Computer Vision (e.g. recognition, detection, segmentation)
  • Ability to code, test, and debug service issues at multiple levels within a stack using multiple languages and platforms

Preferred Qualifications

  • B.S. or M.S. in Computer Science, Electrical Engineering, or related fields
  • Deep understanding of cross-functional AWS services and organizational cloud management

About Specright

Specright is the first purpose-built, patented platform for Specification Management. Whether it's

packaging, raw materials, formulas, products, or machines, Specright helps companies digitize, map, and take action across their supply chain to reduce costs, increase profitability, and drive sustainability. Specright serves customers across industries, including packaging, food and beverage, consumer packaged goods, pharmaceutical, retail, industrials, and more. Recognized as a leader in Specification Management, Specright was named to the Deloitte Fast Technology 500 list in 2024, one of Fast Company's Most Innovative Companies for 2023, had three executives honored as SupplyDemand Chain Executive Pros to Know in 2023 and won Food Logistics' 2022 Top SoftwareTechnology Provider award. For more information, visit: www.specright.com.

Location

Cairo, Egypt.

Culture

We are an energetic company with an entrepreneurial, informal, versatile, intelligent, and fast-paced culture. We promote an open and relatively flat organization with an emphasis on collaboration, sharing ideas and information. It's more important to innovate, then worry about making mistakes.

Perks

  • Competitive salaries
  • Flexible work hours
  • Full benefits package that includes Medical, Vision, and Dental
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