embedded software engineer, light Jobs in Cairo Egypt

embedded software engineer, light

model based system engineer, light Jobs in Cairo Egypt

model based system engineer, light

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software application engineer, light Jobs in Cairo Egypt

software application engineer, light

system engineer, power Jobs in Cairo Egypt

system engineer, power

model based system engineer light

Valeo

<div>
 <ul>
 <li>
 Develop and qualify wiping/lighting functions using Model Based Systems Engineering approach
 </li>
 <li>
 Define lighting functions according to customer needs and develop simulation models using MATLAB/Simulink/Stateflow
 </li>
 <li>
 Define use cases and simulate the functions model according to them for up front verification.
 </li>
 <li>
 Simulate the lighting function in the complete environment at vehicle level
 </li>
 <li>
 Realize fast prototyping applications and Demo Cars for upfront verification
 </li>
 <li>
 Support RFQ and establish compliance and choice matrix.
 </li>
 <li>
 Contribute to innovative Model Based Systems Engineering projects
 </li>
 <li>
 Redesign specification models in compliance with VLS standards.
 </li>
 <li>
 Ensure technology transfer from P3 to P2&amp;P1 projects in compliance with System and Software Metier constraints.
 </li>
 <li>
 Inspires and encourages colleagues to apply intelligently customized best practices.
 </li>
 <li>
 Contribute to Develop, qualify and maintain VWS/ VLS standard Library
 </li>
 <li>
 Identify system functions diversity, dependencies and constraints in order to define reusable subsystems and blocks.
 </li>
 <li>
 Define specific test cases to qualify libraries behavior and improve libraries robustness.
 </li>
 <li>
 Support Model Based Design Implementation Engineer during standardization phase.
 </li>
 <li>
 Ensure the full coverage of the specific test cases to qualify libraries behavior and improve libraries robustness.
 </li>
 <li>
 Ensure the coverage level of the Implementation Model aligned with Model Development Methodology &amp; Strategy
 </li>
 <li>
 Code Generation and Ensure Quality of Deliverables
 </li>
 <li>
 Support Code generation from Implementation Model using Embedded Coder.
 </li>
 <li>
 Ensure the Compliance with Model Advisor Rules
 </li>
 <li>
 Ensure Compliance of source code with Valeo Coding Rules and MISRA for auto generated Code
 </li>
 <li>
 Contribute to build and deploy VWS/VLS Model Based Systems Engineering Design standards
 </li>
 <li>
 Develop simulation methodologies and tools.
 </li>
 <li>
 Perform model Peer reviews across VWS/VLS projects to ensure project consistency
 </li>
 <li>
 Perform technical reviews on new functions.
 </li>
 <li>
 Perform technical reviews on innovative functions before implementation during transition phase (P3 to P1 projects).
 </li>
 <li>
 Education / Training
 
 
 </li>
 </ul>
 
 System/Electronics/Software/MBD/MBSE Engineer
 
 
 
 
 
 Professional Experience
 
 
 
 
 
 System experience for a minimum of 2~3 years in SW/System domain in Automotive industry: Model Based Systems Engineering (MBSE) or Model Based Design (MBD) approach.
 
 
 Fast prototyping systems
 
 
 Development in embedded systems
 
 
 Methodology development knowledge (V cycle)
 
 
 Knowledge of automotive communication bus (Ethernet, CAN, LIN), Diagnostic.
 
 
 
 
 
 Languages
 
 
 
 
 
 The English language is mandatory.
 
 
 
 
 
 Other Specifications
 
 
 
 
 
 Knowledge About The Following Tools Is a Must
 
 
 
 <ul>
 <li>
 MATLAB/Simulink/Stateflow
 
 
 </li>
 </ul>
 
 Knowledge About The Following Tools/Concepts Is a Plus
 
 
 
 <ul>
 <li>
 Control Law Theory
 </li>
 <li>
 DOORS/CodeBeamer
 </li>
 <li>
 dSPACE MicroAutoBox, CATIAMagic, SCANeR,
 </li>
 <li>
 Automotive communication buses: Ethernet /CAN / LIN network and associated tools (CANoe, CANdela, &hellip;)
 </li>
 </ul>
 <ul>
 <li>
 Ensure the coverage level of the tests: MIL on Implementation Model (Back to Back), SIL, PIL
 </li>
 <li>
 Support SW Integrator for the Integration phase of the functions developed in Model
 </li>
 </ul>
</div>

Model Based System Engineer, LIGHT

<div>
 Valeo est une entreprise mondiale de haute technologie qui con&ccedil;oit des solutions r&eacute;volutionnaires pour r&eacute;inventer la mobilit&eacute;. Nous sommes un &eacute;quipementier partenaire des constructeurs automobiles et des acteurs de la nouvelle mobilit&eacute; dans le monde entier. Notre vision ? Inventer une mobilit&eacute; plus verte et plus s&ucirc;re, gr&acirc;ce &agrave; des solutions ax&eacute;es sur la conduite intuitive et la r&eacute;duction des &eacute;missions de CO2. Nous sommes leaders dans nos domaines d'activit&eacute; et reconnus comme l'une des plus grandes entreprises innovantes au monde.
 
 
 <ul>
 <li>
 Develop and qualify wiping/lighting functions using Model Based Systems Engineering approach
 </li>
 <li>
 Define lighting functions according to customer needs and develop simulation models using MATLAB/Simulink/Stateflow
 </li>
 <li>
 Define use cases and simulate the functions model according to them for up front verification.
 </li>
 <li>
 Simulate the lighting function in the complete environment at vehicle level
 </li>
 <li>
 Realize fast prototyping applications and Demo Cars for upfront verification
 </li>
 <li>
 Support RFQ and establish compliance and choice matrix.
 </li>
 <li>
 Contribute to innovative Model Based Systems Engineering projects
 </li>
 <li>
 Redesign specification models in compliance with VLS standards.
 </li>
 <li>
 Ensure technology transfer from P3 to P2&amp;P1 projects in compliance with System and Software Metier constraints.
 </li>
 <li>
 Inspires and encourages colleagues to apply intelligently customized best practices.
 </li>
 <li>
 Contribute to Develop, qualify and maintain VWS/ VLS standard Library
 </li>
 <li>
 Identify system functions diversity, dependencies and constraints in order to define reusable subsystems and blocks.
 </li>
 <li>
 Define specific test cases to qualify libraries behavior and improve libraries robustness.
 </li>
 <li>
 Support Model Based Design Implementation Engineer during standardization phase.
 </li>
 <li>
 Ensure the full coverage of the specific test cases to qualify libraries behavior and improve libraries robustness.
 </li>
 <li>
 Ensure the coverage level of the Implementation Model aligned with Model Development Methodology &amp; Strategy
 </li>
 <li>
 Code Generation and Ensure Quality of Deliverables
 </li>
 <li>
 Support Code generation from Implementation Model using Embedded Coder.
 </li>
 <li>
 Ensure the Compliance with Model Advisor Rules
 </li>
 <li>
 Ensure Compliance of source code with Valeo Coding Rules and MISRA for auto generated Code
 </li>
 <li>
 Contribute to build and deploy VWS/VLS Model Based Systems Engineering Design standards
 </li>
 <li>
 Develop simulation methodologies and tools.
 </li>
 <li>
 Perform model Peer reviews across VWS/VLS projects to ensure project consistency
 </li>
 <li>
 Perform technical reviews on new functions.
 </li>
 <li>
 Perform technical reviews on innovative functions before implementation during transition phase (P3 to P1 projects).
 </li>
 <li>
 Education / Training
 
 
 </li>
 </ul>
 
 System/Electronics/Software/MBD/MBSE Engineer
 
 
 
 
 
 Professional Experience
 
 
 
 
 
 System experience for a minimum of 2~3 years in SW/System domain in Automotive industry~ Model Based Systems Engineering (MBSE) or Model Based Design (MBD) approach.
 
 
 Fast prototyping systems
 
 
 Development in embedded systems
 
 
 Methodology development knowledge (V cycle)
 
 
 Knowledge of automotive communication bus (Ethernet, CAN, LIN), Diagnostic.
 
 
 
 
 
 Languages
 
 
 
 
 
 The English language is mandatory.
 
 
 
 
 
 Other Specifications
 
 
 
 
 
 
 Knowledge about the following tools is a must~
 
 
 
 
 <ul>
 <li>
 MATLAB/Simulink/Stateflow
 
 
 </li>
 </ul>
 
 
 Knowledge about the following tools/Concepts is a plus~
 
 
 
 
 <ul>
 <li>
 Control Law Theory
 </li>
 <li>
 DOORS/CodeBeamer
 </li>
 <li>
 dSPACE MicroAutoBox, CATIAMagic, SCANeR,
 </li>
 <li>
 Automotive communication buses~ Ethernet /CAN / LIN network and associated tools (CANoe, CANdela, &hellip;)
 </li>
 </ul>
 <ul>
 <li>
 Ensure the coverage level of the tests~ MIL on Implementation Model (Back to Back), SIL, PIL
 </li>
 <li>
 Support SW Integrator for the Integration phase of the functions developed in Model
 
 
 </li>
 </ul>
 
 Position~
 
 
 
 Engineering Disciplines
 
 
 
 D&eacute;partement~
 
 
 
 GTSC Software
 
 
 
 Schedule~
 
 
 
 Temps plein
 
 
 
 Employee Status~
 
 
 
 CDI
 
 
 
 Type de contrat~
 
 
 
 
 Job Posting Date~
 
 
 
 2026-02-26
 
 
 
 Join Us !
 
 
 Being part of our team, you will join~
 
 
 <ul>
 <li>
 one of the largest global innovative companies, with more than 20,000 engineers working in Research &amp; Development
 </li>
 <li>
 a multi-cultural environment that values diversity and international collaboration
 </li>
 <li>
 more than 100,000 colleagues in 31 countries... which make a lot of opportunity for career growth
 </li>
 <li>
 a business highly committed to limiting the environmental impact if its activities and ranked by Corporate Knights as the number one company in the automotive sector in terms of sustainable development
 
 
 </li>
 </ul>
 More information on Valeo~ https~//www.valeo.com
 
</div>

Global Digital Consulting Group Inc.

<div>
 
 
 Cisco Systems
 
 
 , a leading US technology company, is seeking an
 
 
 AI Engineer &ndash; Golang &amp; Microservices
 
 
 to design, build, and deploy production-grade AI systems leveraging RAG, agent orchestration, and model optimization techniques, integrated into high-performance Golang microservices. This fully remote role from Egypt involves close collaboration with US-based teams while owning the scalability, reliability, governance, and observability of AI platforms in production.
 
 
 
 
 
 
 In this role, you will
 
 architect and implement
 
 
 distributed AI systems that merge intelligent model pipelines with resilient
 
 
 Golang microservices
 
 
 , ensuring performance, governance, and operational excellence across cloud environments.
 
 
 
 
 
 
 
 Job Description
 
 
 <ul>
 <li>
 
 Architect, build, and operate production-grade AI platforms integrating LLM systems with scalable Golang microservices.
 
 </li>
 <li>
 
 Design and implement Retrieval-Augmented Generation (RAG) and hybrid search pipelines with vector databases and knowledge graphs for grounded AI responses.
 
 </li>
 <li>
 
 Develop and orchestrate agent-based AI workflows with structured tool calling, multi-step reasoning, and state management.
 
 </li>
 <li>
 
 Build high-performance REST and gRPC services in Golang to serve AI inference, embeddings, and evaluation pipelines at scale.
 
 </li>
 <li>
 
 Implement model optimization strategies including LoRA-based fine-tuning, distillation, quantization, and pruning for efficient deployment.
 
 </li>
 <li>
 
 Establish automated evaluation, guardrails, and observability frameworks to monitor hallucination rates, drift detection, and model performance.
 
 </li>
 <li>
 
 Integrate AI services with cloud-native infrastructure (AWS/GCP/Azure) using Docker and Kubernetes for scalable and reliable deployment.
 
 </li>
 <li>
 
 Design event-driven AI pipelines leveraging Kafka or similar messaging systems for asynchronous processing and workflow orchestration.
 
 </li>
 <li>
 
 Enforce AI governance, privacy, and security standards including adversarial testing, red-teaming practices, and data protection controls.
 
 </li>
 <li>
 
 Collaborate with cross-functional teams to improve reliability, scalability, and performance while continuously refining AI system architecture.
 
 </li>
 </ul>
 
 
 
 
 
 Qualifications
 
 
 <ul>
 <li>
 
 2+ years of experience in AI Systems Engineering or Platform roles, with strong production exposure.
 
 </li>
 <li>
 
 Strong proficiency in Golang, building scalable REST and gRPC microservices in distributed environments.
 
 </li>
 <li>
 
 Hands-on experience designing and deploying LLM-powered systems, including RAG pipelines, agent workflows, or tool orchestration.
 
 </li>
 <li>
 
 Practical experience with model optimization techniques such as LoRA, distillation, quantization, or other PEFT methods.
 
 </li>
 <li>
 
 Experience integrating AI services with vector databases, hybrid search, or knowledge graph systems for grounded generation.
 
 </li>
 <li>
 
 Solid understanding of cloud-native architecture (AWS/GCP/Azure), containerization (Docker), and Kubernetes-based deployments.
 
 </li>
 <li>
 
 Experience implementing observability, evaluation frameworks, and reliability practices for AI systems (monitoring, guardrails, drift detection), and working in an agile environment.
 
 </li>
 <li>
 
 Familiarity with asynchronous architectures using Kafka or similar messaging systems for event-driven AI workflows.
 
 </li>
 <li>
 
 Strong understanding of system performance, scalability, security, and AI governance principles in production environments.
 
 </li>
 </ul>
 
 
 
</div>

AI Engineer – Golang & Microservices | Cisco Systems USA

eSense

<div>
 Position Overview
 
 
 Mid-Level AI Engineer with strong hands-on experience in end-to-end AI system development, specializing in on-premises and private cloud AI deployments. This role focuses on building production-grade AI solutions using primarily local models, optimizing GPU-based training and fine-tuning pipelines, and developing scalable RAG, agentic, multimodal, and speech-enabled systems.
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Analyze requirements and contribute to technical AI solution design.
 </li>
 <li>
 Strong programming skills in Python (mandatory).
 </li>
 <li>
 Experience in backend development (APIs, microservices, model serving).
 </li>
 <li>
 Hands-on experience with local LLM deployment and optimization.
 </li>
 <li>
 Experience in RAG system design and vector databases.
 </li>
 <li>
 Practical experience in model fine-tuning (LoRA / PEFT).
 </li>
 <li>
 Solid understanding of: Transformer architecture, quantization techniques, and embeddings with retrieval.
 </li>
 <li>
 Experience working in Linux environments.
 </li>
 <li>
 Participate in peer code reviews and team planning activities.
 </li>
 <li>
 Provide task estimations and deliver within approved timelines.
 </li>
 <li>
 Apply secure coding practices and participate in bug resolution with quality metrics in mind.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in computer science, Artificial Intelligence, Data Science, or related discipline.
 </li>
 <li>
 2-5 years of experience in AI Engineering.
 </li>
 <li>
 Proficiency in C#, .NET Core and Python.
 </li>
 <li>
 Experience with Structured and Unstructured databases.
 </li>
 <li>
 Experience with Angular or other frontend technologies is a strong plus.
 </li>
 <li>
 Working knowledge of relational databases (i.e., SQL Server) and non-relational databases (i.e., Qdrant)
 </li>
 <li>
 Familiarity with Git, RESTful services, and Agile development methodologies
 </li>
 </ul>
</div>

AI Engineer

700apps

<div>
 We are looking for a highly skilled
 
 Senior AI Engineer / AI Architect
 
 to lead the design, development, and deployment of scalable AI solutions.
 
 
 In this role, you will combine hands-on model development with high-level system architecture to help shape our AI strategy and deliver production-ready intelligent systems.
 
 
 You will work closely with engineering, product, and leadership teams to transform business needs into powerful AI-driven solutions.
 
 
 
 Key Responsibilities
 
 
 
 AI Architecture &amp; System Design
 
 
 <ul>
 <li>
 Design end-to-end AI/ML system architecture from data ingestion to deployment and monitoring.
 </li>
 <li>
 Define scalable and reliable ML pipelines.
 </li>
 <li>
 Select the appropriate tools, frameworks, and infrastructure.
 </li>
 <li>
 Ensure performance, security, scalability, and maintainability of AI systems.
 </li>
 <li>
 Design APIs and AI services for integration with products and platforms.
 
 
 </li>
 </ul>
 Model Development
 
 
 <ul>
 <li>
 Develop, train, and fine-tune machine learning and deep learning models.
 </li>
 <li>
 Work on advanced AI solutions such as LLMs, NLP systems, or computer vision models.
 </li>
 <li>
 Optimize models for accuracy, speed, and cost efficiency.
 </li>
 <li>
 Conduct experiments and evaluate model performance using best practices.
 
 
 </li>
 </ul>
 MLOps &amp; Deployment
 
 
 <ul>
 <li>
 Build and maintain CI/CD pipelines for machine learning workflows.
 </li>
 <li>
 Deploy models to production using containers and cloud services.
 </li>
 <li>
 Implement monitoring, logging, and automated retraining processes.
 </li>
 <li>
 Manage model lifecycle, versioning, and performance tracking.
 
 
 </li>
 </ul>
 Technical Leadership
 
 
 <ul>
 <li>
 Provide technical leadership to AI engineers and data scientists.
 </li>
 <li>
 Review code and guide best practices in AI development.
 </li>
 <li>
 Collaborate with cross-functional teams to align AI solutions with business goals.
 </li>
 <li>
 Contribute to technical strategy and AI roadmap planning.
 
 
 </li>
 </ul>
 
 Required Qualifications
 
 
 
 <ul>
 <li>
 7+ years of experience in AI / Machine Learning engineering.
 </li>
 <li>
 Strong programming skills in Python.
 </li>
 <li>
 Hands-on experience with PyTorch or TensorFlow.
 </li>
 <li>
 Experience working with LLMs and modern AI frameworks.
 </li>
 <li>
 Strong understanding of system design and scalable architectures.
 </li>
 <li>
 Experience with cloud platforms such as AWS, GCP, or Azure.
 </li>
 <li>
 Experience with Docker and Kubernetes.
 </li>
 <li>
 Familiarity with MLOps tools such as MLflow, Airflow, or similar.
 </li>
 <li>
 Solid understanding of data pipelines and data engineering concepts.
 </li>
 </ul>
</div>

AI Architect

<div>
 
 Mission &amp; Responsibilities
 
 
 
 The System Engineer is responsible for the development of the different system functions in the power electronics related products (Inverters, On Board Chargers and DC/DC converters) according to state of the art know-how, ASPICE and ISO 26262. The responsibilities of the system engineer are summarized below:
 
 
 <ul>
 <li>
 Contribute to the RFQ phase for the requirements assessment and the customer discussions in the project
 </li>
 <li>
 Communicate professionally and autonomously with the customer and the team members.
 </li>
 <li>
 Design, Analyze and Review detailed system requirements.
 </li>
 <li>
 Simulate Electromagnetic behavior of synchronous machines (PMSM,EESM) and the associated power electronics equipment (Inverters, DC/DC converters etc...)
 </li>
 <li>
 Create all the necessary technical documents, data sheets and descriptions, worst case analysis
 </li>
 <li>
 Work with the system architect regarding the interfaces, and the system requirements in close coordination with the HW / SW / MD architects
 </li>
 <li>
 Support the different stakeholders from SW, Sys, HW, Testing
 </li>
 <li>
 Conduct reviews for the SW Reqs, SW Architecture, System integration test cases, System Test cases
 </li>
 <li>
 Support the construction team in creating an efficient cross-project system architecture and ensuring compatibility with the project-specific architecture
 </li>
 <li>
 Follow defined project processes/guidelines/checklists and ensure process conformance.
 </li>
 <li>
 Report work progress continuously through attendance of daily &amp; weekly project internal meetings.
 </li>
 <li>
 Contribute effectively in the continuous improvement of his/her project, team, and work environment by submitting improvement proposals whenever possible.
 </li>
 <li>
 Raise flags proactively for any issue that can impact his/her project or team.
 </li>
 <li>
 Perform all the activities using the agreed internal/external configuration management tool
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Bachelor degree in Electrical, Mechatronics Engineering
 </li>
 <li>
 Masters in Power electronics/Motor Control or Control theory is a plus
 </li>
 <li>
 Excellent command of English language is a must.
 </li>
 <li>
 German language is a plus.
 </li>
 <li>
 +1.5 years of relevant experience.
 </li>
 <li>
 Strong Power Electronics Knowledge and foundations are a must
 </li>
 <li>
 Notes:
 </li>
 <li>
 MATLAB scripting and Simulink modelling are a must, Pspice modelling is a plus
 </li>
 <li>
 Good knowledge in Electrical drives and Control of electrical machines (FOC, Pulse width modulation techniques, current controller design, etc..)
 </li>
 <li>
 OR Good knowledge of DC/DC converters (Boost, LLC, etc..) DC/DC Converter Modelling (Switched Model, Average Model )
 </li>
 <li>
 Controller Design for Dc/Dc converters (Voltage Control Mode, Current Control Mode)
 </li>
 <li>
 Good knowledge in Control theory and Signal processing techniques
 </li>
 <li>
 Good knowledge in Embedded systems concepts and Micro-controllers, Knowledge of the Aurix Mc is a plus
 </li>
 <li>
 Autosar and BSW knowledge is a plus
 </li>
 <li>
 Good knowledge about software engineering (requirement, design, development, Architecture, verification and validation) is a plus
 </li>
 <li>
 Automotive SPICE is a Plus
 </li>
 <li>
 Knowledge of the Safety ISO 26262 is a plus
 </li>
 <li>
 Masters in Electrical Engineering is a plus.
 </li>
 <li>
 Previous system engineering experience is not a must.
 </li>
 <li>
 Notes:
 </li>
 <li>
 At least a graduation project focus on Power electronics is needed for this position
 </li>
 <li>
 Having Either the knowledge of DC/DC converters or Inverters is ok for this position
 </li>
 </ul>
</div>

System Engineer, POWER

HireOn

<div>
 
 Senior MLOps Engineer (Onsite | Cairo, Egypt)
 
 
 
 
 Experience:
 
 5&ndash;8 Years
 
 
 
 Employment Type:
 
 Full-Time
 
 
 
 Location:
 
 Cairo, Egypt (Onsite)
 
 
 
 Salary Range:
 
 80,000 EGP &ndash; 100,000 EGP per month
 
 
 
 About The Opportunity
 
 
 
 HireOn is recruiting for its reputed international client seeking a highly skilled
 
 Senior MLOps Engineer
 
 to lead the operationalization of machine learning models in production environments.
 
 
 This role requires a hands-on expert who can bridge Data Science and Cloud Engineering teams, ensuring scalable, secure, and automated ML systems on AWS infrastructure. The ideal candidate will drive end-to-end MLOps architecture, CI/CD automation, and cloud-native ML deployment strategies.
 
 
 
 Core Requirements Experience
 
 
 
 <ul>
 <li>
 5&ndash;8 years of overall experience with minimum 3+ years in MLOps or production ML environments
 </li>
 <li>
 Strong experience managing the full ML lifecycle (training, deployment, monitoring, optimization)
 </li>
 <li>
 Proven ability to work independently and collaborate across cross-functional teams
 
 
 </li>
 </ul>
 
 AWS &amp; Cloud Expertise (Mandatory)
 
 
 
 
 Hands-on Experience With
 
 
 
 Amazon SageMaker, S3, EC2, Lambda, IAM, CloudWatch, ECR, ECS, EKS
 
 
 Strong understanding of secure, scalable, and highly available AWS architecture
 
 
 
 MLOps &amp; Machine Learning
 
 
 
 <ul>
 <li>
 Model deployment and monitoring in production
 </li>
 <li>
 Experience with TensorFlow, PyTorch, or Scikit-learn
 </li>
 <li>
 Experiment tracking tools such as MLflow
 </li>
 <li>
 Model performance monitoring and drift detection
 
 
 </li>
 </ul>
 
 DevOps &amp; Automation
 
 
 
 <ul>
 <li>
 Docker and containerization
 </li>
 <li>
 CI/CD pipelines using GitHub Actions, GitLab CI, Jenkins, or AWS CodePipeline
 </li>
 <li>
 Infrastructure as Code (Terraform or CloudFormation)
 
 
 </li>
 </ul>
 
 Programming &amp; Data
 
 
 
 <ul>
 <li>
 Strong Python programming expertise
 </li>
 <li>
 Experience with SQL and working knowledge of NoSQL databases
 </li>
 <li>
 Experience handling structured and unstructured datasets
 
 
 </li>
 </ul>
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Design and implement scalable end-to-end MLOps pipelines
 </li>
 <li>
 Deploy and manage ML models using AWS-native services
 </li>
 <li>
 Build and maintain CI/CD pipelines for ML workflows
 </li>
 <li>
 Implement model monitoring, logging, and performance tracking
 </li>
 <li>
 Containerize ML applications and deploy on ECS/EKS
 </li>
 <li>
 Automate infrastructure using Terraform or CloudFormation
 </li>
 <li>
 Ensure system scalability, reliability, and security
 </li>
 <li>
 Troubleshoot ML pipelines and cloud infrastructure issues
 </li>
 <li>
 Collaborate closely with Data Science and Engineering teams to productionize ML solutions
 
 
 </li>
 </ul>
 
 Nice to Have
 
 
 
 <ul>
 <li>
 Exposure to feature stores and data versioning
 </li>
 <li>
 AWS Associate-level certification
 </li>
 <li>
 Understanding of ML governance, compliance, and model risk management
 
 
 </li>
 </ul>
 Skills: aws codepipeline,terraform,tensorflow,aws sagemaker,mlops,python,aws,ml
</div>

Senior MLOps Engineer

Explore 538+ Model based system engineer light in Cairo Egypt this March. Find roles across top companies and apply now to boost your career.

538 model based system engineer light jobs In Cairo Egypt

Model Based System Engineer, LIGHT

Model Based System Engineer, LIGHT

AI Engineer – Golang & Microservices | Cisco Systems USA

AI Engineer

AI Architect

System Engineer, POWER

Senior MLOps Engineer