Job Description

Join our Team

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As the Company at the forefront of the creation of the Mobile world, and with more than 60,000 patents to our name, we've made it our business to make a mark. Being part of Ericsson empowers you to learn, lead and perform at your best, shaping future technology. Ericsson is an inclusive employer where you are recognized for the skills, talent, and perspective you bring to the team.


Within the Solution Area Cognitive Networks Solutions Software R&D (SA CNS SW R&D), we offer the opportunity to collaborate with highly qualified Global teams and to enable success stories for our customers. You will be exposed to groundbreaking technology (5G, ML/AI, Automation and Cloud computing) and support the delivery of multiple Data-Intensive projects from our customer base and internal requirements. You must have the ability to perform hands-on Cloud and Data engineering tasks independently coupled with the appropriate testing. Are you ready to write the future with us?

Come, and be where it begins.

About this opportunity:

We are seeking an experienced ML/MLOps Lead to guide our cross-functional teams through the complete machine learning lifecycle, from initial prototyping to scalable deployment. You won't just be building models; you will be architecting the ecosystem that sustains them.

In this pivotal role, you will bridge the gap between experimental data science and production engineering, establishing technical standards and operational frameworks that turn innovative models into reliable business solutions.

If you're passionate about bridging the gap between cutting-edge machine learning and production-scale systems, and thrive in a collaborative environment, we'd love to hear from you.

What you will do:

Lead the design and implementation of scalable ML infrastructure and deployment pipelines using AWS SageMaker and other cloud-native ML services Establish MLOps best practices including model lifecycle management, automated testing, monitoring, and governance frameworks Architect and implement Infrastructure as Code (IaC) solutions for ML workloads, ensuring reproducibility and scalability Guide cross-functional teams in translating research prototypes into production-ready ML systems Drive the adoption of software engineering best practices within ML workflows, including version control, CI/CD, and code quality standards Mentor team members on ML model optimization, feature engineering, and data pipeline design Collaborate with stakeholders to define technical requirements and ensure alignment between research initiatives and product delivery Design and implement monitoring and observability solutions for ML models in production Lead technical decision-making for ML platform architecture and tooling selection

The skills you bring:

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5+ years of experience in machine learning engineering with a strong background in both ML/DS and software engineering Bachelor's or Master's degree in Computer Science, Data Science, or related field Proven expertise in MLOps platforms, particularly AWS SageMaker (training, deployment, pipelines, model registry) Strong proficiency in Infrastructure as Code tools (Terraform, CloudFormation, CDK) Experience with container technologies (Docker, Kubernetes) and ML orchestration frameworks Solid programming skills in Python, with experience in ML frameworks (TensorFlow, PyTorch, Scikit-learn) Deep understanding of CI/CD pipelines, version control (Git), and software development lifecycle Experience with data engineering tools and practices (ETL/ELT, data versioning, feature stores) Strong communication and mentoring skills with ability to work across technical and non-technical stakeholders

Why join Ericsson?

At Ericsson, youll have an outstanding opportunity. The chance to use your skills and imagination to push the boundaries of whats possible. To build solutions never seen before to some of the world's toughest problems. Youll be challenged, but you won't be alone. Youll be joining a team of diverse innovators, all driven to go beyond the status quo to craft what comes next.

What happens once you apply?

Click Here to find all you need to know about what our typical hiring process looks like.


Encouraging a diverse and inclusive organization is core to our values at Ericsson, that's why we champion it in everything we do. We truly believe that by collaborating with people with different experiences we drive innovation, which is essential for our future growth. We encourage people from all backgrounds to apply and realize their full potential as part of our Ericsson team. Ericsson is proud to be an Equal Opportunity Employer. learn more.

Primary country and city:

Egypt (EG) || Cairo

Req ID:

775240