Qureos Mentor

Integrant, Inc.

<div>
 Integrant is looking for game changers to join our team as " Lead AI Platform".
 
 
 The Lead AI Platform Engineer is responsible for bridging AI workloads with production-grade infrastructure, with a strong focus on NVIDIA AI stack, enabling high-performance, scalable, and optimized AI systems.
 
 
 This role focuses on model optimization, runtime efficiency, and GPU utilization, ensuring that AI workloads are production-ready, cost-efficient, and performant across enterprise environments.
 
 
 
 Roles and Responsibilities:
 
 
 
 <ul>
 <li>
 Translate AI/ML workloads into optimized infrastructure and deployment strategies
 </li>
 <li>
 Optimize model performance across GPU environments (latency, throughput, memory utilization)
 </li>
 <li>
 Design and implement inference and training pipelines using NVIDIA stack tools (TensorRT, Triton, NIM)
 </li>
 <li>
 Convert and optimize models across frameworks (PyTorch &rarr; ONNX &rarr; TensorRT)
 </li>
 <li>
 Analyze and resolve performance bottlenecks using profiling tools (GPU, memory, network)
 </li>
 <li>
 Improve GPU utilization and scheduling efficiency across clusters
 </li>
 <li>
 Design scalable distributed training and inference architectures
 </li>
 <li>
 Work closely with customers to define AI infrastructure strategies and deployment models
 </li>
 <li>
 Support production deployments including monitoring, rollback, and performance validation
 </li>
 <li>
 Conduct applied research to improve model efficiency and infrastructure utilization
 </li>
 <li>
 Mentor team members on AI infrastructure, optimization, and GPU systems
 </li>
 <li>
 Experiment tracking tools (MLflow, W&amp;B, Neptune) log parameters, metrics, and artifacts for comparison
 </li>
 <li>
 Find the Model degradation happens post-deployment: concept drift, data pipeline changes, traffic pattern shifts
 </li>
 <li>
 Root cause analysis (RCA) applies to ML systems: isolating variables, reproducing issues
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 8+ years of experience in AI systems
 </li>
 <li>
 8+ years of experience in ML systems, HPC and AI infrastructure
 </li>
 <li>
 Strong proficiency in Python
 </li>
 <li>
 Strong experience with GPU-based AI workloads and performance optimization
 </li>
 <li>
 Deep understanding of model optimization techniques (quantization, pruning, batching)
 </li>
 <li>
 Hands-on experience with:
 </li>
 <li>
 PyTorch
 </li>
 <li>
 ONNX / ONNX Runtime
 </li>
 <li>
 TensorRT / TensorRT-LLM
 </li>
 <li>
 Triton Inference Server
 </li>
 <li>
 Knowledge of CUDA, cuDNN, and GPU architecture fundamentals
 </li>
 <li>
 Experience with distributed systems (multi-GPU / multi-node)
 </li>
 <li>
 Familiarity with:
 </li>
 <li>
 NCCL communication
 </li>
 <li>
 NVLink / InfiniBand
 </li>
 <li>
 Kubernetes or Slurm for orchestration
 </li>
 <li>
 Experience deploying AI models into production environments
 </li>
 <li>
 Ability to analyze system bottlenecks (compute, memory, network)
 </li>
 <li>
 Experience with profiling tools (Nsight, TensorRT profiler, etc.)
 </li>
 <li>
 Knowledge of cost optimization strategies for GPU workloads
 </li>
 <li>
 Experiment tracking tools (MLflow, W&amp;B, Neptune) log parameters, metrics, and artifacts for comparison
 </li>
 <li>
 Find the Model degradation happens post-deployment: concept drift, data pipeline changes, traffic pattern shifts
 </li>
 <li>
 Root cause analysis (RCA) applies to ML systems: isolating variables, reproducing issues
 
 
 </li>
 </ul>
 
 Nice to Have
 
 
 
 <ul>
 <li>
 Experience with NVIDIA NIM and NGC ecosystem
 </li>
 <li>
 Exposure to Megatron-LM, NeMo, or large-scale LLM training/inference
 </li>
 <li>
 Experience with LLM optimization techniques (KV cache, batching strategies)
 </li>
 <li>
 Familiarity with MLOps practices and CI/CD for AI systems
 </li>
 <li>
 Experience in customer-facing architecture or consulting roles
 </li>
 <li>
 Familiarity with hybrid cloud / on-prem HPC environments
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 <ul>
 <li>
 Salary paid in USD
 </li>
 <li>
 Six-month career advancing opportunities
 </li>
 <li>
 Supportive and friendly work environment
 </li>
 <li>
 Premium medical insurance [employee +family]
 </li>
 <li>
 English language development courses
 </li>
 <li>
 Interest-free loans paid over 2.5 years
 </li>
 <li>
 Technical development courses
 </li>
 <li>
 Planned overtime program (POP)
 </li>
 <li>
 Employment referral program
 </li>
 <li>
 Premium location in Maadi
 </li>
 <li>
 Social insurance
 </li>
 </ul>
</div>

Lead AI Platform

<div>
 
 
 Integrant Inc
 
 is hiring a passionate "Senior Technical Lead - .Net Full-Stack". This role is the technical backbone of the project &mdash; owning architecture, engineering standards, and technical quality while partnering with the Technical Project Lead on delivery. Top candidates will demonstrate deep technical expertise across modern .NET, cloud, AI, and distributed systems, with the ability to elevate their team's skills and drive engineering excellence.
 
 
 Duties &amp; Responsibilities:
 
 
 
 
 
 
 
 Architecture &amp; System Desig
 
 
 <ul>
 <li>
 nOwn and approve system architecture, design specifications, and technical direction
 </li>
 <li>
 .Define bounded contexts and map context relationships using DDD patterns (Shared Kernel, Customer-Supplier, Anti-Corruption Layers)
 </li>
 <li>
 .Design event-driven systems: model domain events, implement async event processing, ensure event idempotency, and handle eventual consistency
 </li>
 <li>
 .Design microservices communication strategies (sync/async), API gateways, database-per-service patterns, and distributed transaction handling
 </li>
 <li>
 .Design distributed caching strategies including cache-aside, write-through, and cache invalidation/coherency patterns
 </li>
 <li>
 .Design comprehensive testing strategies: contract testing, integration testing, end-to-end testing, and test data management
 </li>
 </ul>
 
 
 
 
 
 .
 
 AI &amp; Agen
 
 
 
 tsBasic (must have)
 
 <ul>
 <li>
 :LLM integrati
 </li>
 <li>
 onSimple R
 </li>
 <li>
 AGSimple AI workflow like n
 </li>
 </ul>
 
 8nPlu
 
 <ul>
 <li>
 s:Design and implement multi-agent systems where agents collaborate using coordination frameworks or shared context for complex workflow
 </li>
 <li>
 s.Implement operational patterns for multi-agent reliability: retry logic, branching/conditional logic, fallback strategies, and long-running task managemen
 </li>
 <li>
 t.Establish agent evaluation frameworks &mdash; log agent actions, track errors/latency/success rates, and drive continuous improvement through feedback loop
 </li>
 </ul>
 
 
 
 
 
 s.
 
 Cloud &amp; Serverl
 
 
 <ul>
 <li>
 essImplement advanced caching solutions using Redis/Azure Cache (strings, hashes, lists, sets, sorted sets, pub/su
 </li>
 <li>
 b).Design complex serverless orchestration: function chaining, fan-out/fan-in workflows, connection pooling, and scalability optimizati
 </li>
 <li>
 on.Design API gateway policies: request/response pipelines, hierarchical policy scopes (global, API, endpoint), authentication/authorization mechanisms, and transformation/caching polici
 </li>
 </ul>
 
 
 
 
 
 es.
 
 Data
 
 
 <ul>
 <li>
 baseDesign and implement database replication (master-slave) and high availability/failover strateg
 </li>
 </ul>
 
 
 
 
 
 ies.
 
 D
 
 
 <ul>
 <li>
 evOpsDesign multi-container applications using Docker Compose, manage volumes for data persistence, configure container networking, port mapping, and environment varia
 </li>
 <li>
 bles.Drive CI/CD pipeline practices and source control workflows across the
 </li>
 </ul>
 
 
 
 
 
 team.
 
 Se
 
 
 <ul>
 <li>
 curitySecure AI API keys and model endpoints: key rotation, rate limiting, endpoint authentication, TLS, usage monitoring, cost controls, and IP allow li
 </li>
 <li>
 sting.Design agent authentication and authorization: agent identity management, service-to-service auth, credential rotation, and inter-agent communication sec
 </li>
 <li>
 urity.Understand and apply vulnerability scanning approaches (SAST, DAST, SCA) and tools (SonarQube,
 </li>
 </ul>
 
 
 
 
 
 Snyk).
 
 Engineering Standards &amp;
 
 
 <ul>
 <li>
 QualityEnforce sound software engineering practices: iterative development, code reviews, unit testing, integration testing, and automation t
 </li>
 <li>
 esting.Review and sign-off on functional and technical specifications; monitor deliverables vs. specifications and provide corrective a
 </li>
 <li>
 ctions.Champion best practices in design patterns, SOLID principles, and clean archit
 </li>
 </ul>
 
 
 
 
 
 ecture.
 
 Team Growth &amp; Me
 
 
 <ul>
 <li>
 ntorshipMentor and train team members on software design, design patterns, SOLID principles, and emerging techn
 </li>
 <li>
 ologies.Conduct code reviews that are educational &mdash; raise the engineering bar for the who
 </li>
 <li>
 le team.Assess team capabilities and advise the Technical Project Lead on task assignments based on technical st
 </li>
 </ul>
 
 
 
 
 
 rengths.
 
 Collaboration with Technical Pro
 
 
 <ul>
 <li>
 ject LeadProvide technical feasibility assessments and effort estimates for scope reviews and change
 </li>
 <li>
 requests.Supply technical input for risk assessments, status reports, and delivery d
 </li>
 <li>
 ecisions.Support client-facing technical discussions and demos when deep technical context i
 </li>
 </ul>
 
 
 
 
 
 s needed.
 
 Req
 
 
 <ul>
 <li>
 uirements:9+ years of experience in software en
 </li>
 <li>
 gineering.2+ years as a Lead Software Engineer with hands-on technical leadership of cross-functio
 </li>
 <li>
 nal teams.Strong hands-on experience with .NET Core, C#, and the modern .NET
 </li>
 <li>
 ecosystem.Proficient with frontend technologies (Angular
 </li>
 <li>
 or React).Hands-on experience with software architecture: DDD, Event-Driven Architecture, microservices, and distribute
 </li>
 <li>
 d systems.Experience designing and implementing multi-agent AI systems and agent obse
 </li>
 <li>
 rvability.Hands-on with cloud platforms (Azure and/or AWS) including serverless, caching, and API management
 </li>
 <li>
 services.Experience with database replication, high availability, and failover s
 </li>
 <li>
 trategies.Hands-on with DevOps tools: CI/CD, source control, Docker, Docker Compose, and K
 </li>
 <li>
 ubernetes.Understanding of security practices: vulnerability scanning (SAST/DAST/SCA), AI endpoint security, and agent authe
 </li>
 <li>
 ntication.Agile methodology e
 </li>
 <li>
 xperience.Strong client engagement skills &mdash; this role requires regular interaction with U
 </li>
 <li>
 S clients.Self-learner who stays current with software developme
 </li>
 </ul>
 
 
 
 
 nt trends
 
 <ul>
 <li>
 .
 
 Benefits:Salary
 </li>
 <li>
 paid in USDSix-month career advancing op
 </li>
 <li>
 portunitiesSupportive and friendly work
 </li>
 <li>
 environmentPremium medical insurance [employ
 </li>
 <li>
 ee +family]English language developm
 </li>
 <li>
 ent coursesInterest-free loans paid ove
 </li>
 <li>
 r 2.5 yearsTechnical developm
 </li>
 <li>
 ent coursesPlanned overtime pr
 </li>
 <li>
 ogram (POP)Employment refer
 </li>
 <li>
 ral programPremium location in Maadi an
 </li>
 <li>
 d Nasr CitySocia
 </li>
 </ul>
 
 
 
 l insurance
</div>

Senior Technical Lead - .Net Full-Stack

<div>
 
 We are seeking a highly motivated and experienced Storage Engineer to join our team and play a key role in managing multiple data storage infrastructures. The ideal candidate will have extensive experience with Weka and Ceph, or other parallel and object storage solutions. In this role, you will be responsible for various aspects of storage administration, including provisioning, configuration, monitoring, and troubleshooting. This is a customer-facing position.&nbsp;
 
 
 
 
 Key Responsibilities
 
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Manage and maintain Weka and Ceph storage environments.
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Provision storage resources to meet application and user requirements.
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Configure and manage storage pools, volumes, and snapshots.
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Implement and maintain data protection strategies, including backups and replication.
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Monitor storage performance and capacity utilization.
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Identify and troubleshoot storage-related issues.
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Perform routine maintenance tasks.
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Stay up-to-date on the latest storage technologies and best practices.
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Document storage configurations and procedures.
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Participate in an on-call rotation to provide critical support for AI and HPC operations.
 
 
 
 
 Work Conditions
 
 
 <ul>
 <li>
 
 Standard 8-hour workday with participation in a rotational on-call schedule aligned with the US Eastern Time zone
 
 , providing critical operational support for
 
 AI and High-Performance Computing (HPC) environments
 
 .
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Bachelor's degree in Computer Science, Information Technology, or a related field (or equivalent experience).
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 8+ years of experience in storage administration.
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Proven experience with Weka and Ceph or other parallel and object storage solutions (Panasas/Vdura, Lustre, VAST).
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Strong understanding of storage protocols (e.g., FC, iSCSI, NFS, S3).
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Experience with storage management software (e.g., Weka Home, VAST Management Console).
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Strong Linux systems administration skills and experience with open-source technologies.
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Excellent problem-solving and troubleshooting skills.
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Strong analytical and communication skills.
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Ability to work independently and as part of a team.
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Excellent time management and organizational skills.
 
 
 
 
 Preferred Qualifications
 
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Experience with storage virtualization technologies (e.g., NetApp SVM, Weka CSI).
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Experience with scripting languages (e.g., Python, BASH, Ansible).
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Familiarity with storage over InfiniBand networks.
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Understanding of high-performance storage and parallel file systems used in HPC/AI and Cloud.
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Hands-on HPC Cluster administration experience.
 
 
 
 
 Benefits
 
 
 
 <ul>
 <li>
 Salary paid in USD
 </li>
 <li>
 Six-month career advancing opportunities
 </li>
 <li>
 Supportive and friendly work environment
 </li>
 <li>
 Premium medical insurance [employee +family]
 </li>
 <li>
 English language development courses
 </li>
 <li>
 Interest-free loans paid over 2.5 years
 </li>
 <li>
 Technical development courses
 </li>
 <li>
 Planned overtime program (POP)
 </li>
 <li>
 Employment referral program
 </li>
 <li>
 Premium location in Maadi
 </li>
 <li>
 Social insurance
 </li>
 </ul>
</div>

Lead Storage Engineer

<div>
 
 We Are Hiring!
 
 
 Integrant is looking for game changers to join our team as "Senior Data Scientist" with below roles and responsibilities:
 
 
 
 
 <ul>
 <li>
 Use mathematics, statistics and computer science to extract knowledge and insights from structured, semi-structured and unstructured data in order to assist our clientele to make better data driven decisions.
 </li>
 <li>
 Conduct open research when necessary to develop new algorithms and methods to address specific needs a client might have to which no known algorithms or methods could suffice as a solution.
 </li>
 <li>
 Engage in activities of requirement elicitation with our clientele in regards to potential data science workloads.
 </li>
 <li>
 Mentor junior members on the team in data science.
 </li>
 <li>
 Deliver machine learning models to clients and contribute in knowledge transfer.
 </li>
 </ul>
 
 
 
 
 
 Requirements
 
 
 <ul>
 <li>
 4+ years of experience with Data Science workloads.
 </li>
 <li>
 MSc in Computer Science or other equivalent quantitative field.
 </li>
 <li>
 Familiarity with classification, clustering, regression and association rule mining.
 </li>
 <li>
 Familiarity with one or more standard open source machine learning frameworks (Sklearn, Tensorflow, Keras, etc.).
 </li>
 <li>
 Familiarity with Azure Cognitive Services and Azure ML.
 </li>
 <li>
 Familiarity with AWS SageMaker.
 </li>
 <li>
 Experience with deploying models to production.
 </li>
 <li>
 Experience with monitoring models post production and detecting concept drift.
 </li>
 <li>
 Familiarity with Deep Learning.
 </li>
 <li>
 Extensive experience with Python.
 </li>
 <li>
 Familiarity with conducting open scientific research.
 </li>
 </ul>
 
 
 
 
 
 Nice to Have
 
 
 <ul>
 <li>
 Familiarity with Re-enforcement Learning.
 </li>
 <li>
 Familiarity with Stochastic Local Search Methods.
 </li>
 <li>
 Familiarity with MLOps on Azure.
 </li>
 <li>
 Familiarity with MLOps on AWS.
 </li>
 <li>
 Familiarity with building data pipelines on Azure.
 </li>
 <li>
 Familiarity with building data pipelines on AWS.
 </li>
 <li>
 Familiarity with single and multi-objective optimization techniques
 </li>
 </ul>
 
 
 
 
 
 Benefits
 
 
 <ul>
 <li>
 Salary paid in USD
 </li>
 <li>
 Six-month career advancing opportunities
 </li>
 <li>
 Employee parking space
 </li>
 <li>
 Supportive and friendly work environment
 </li>
 <li>
 Premium medical insurance [employee +family]
 </li>
 <li>
 English language development courses
 </li>
 <li>
 Interest-free loans paid over 2.5 years
 </li>
 <li>
 Technical development courses
 </li>
 <li>
 Planned overtime program (POP)
 </li>
 <li>
 Employment referral program
 </li>
 <li>
 Premium location in Maadi &amp; Nasr City
 </li>
 <li>
 Social insurance
 </li>
 <li>
 Opportunity to travel and work onsite with U.S. customers
 </li>
 <li>
 In-house Technical and English training programs
 </li>
 <li>
 Dedicated learning time (check out our 4Plus1 Program)
 </li>
 <li>
 Flexible work schedules
 </li>
 <li>
 Perks: events, sponsored lunch, game area, rooftop hangout + more!
 </li>
 </ul>
</div>

Senior Data Scientist

Join Integrant, Inc. and explore 4   exciting career opportunities. They're hiring for various roles with options for remote or on-site work. Apply today and become part of their innovative team.

Integrant, Inc.

About Company

Lead AI Platform

Senior Technical Lead - .Net Full-Stack

Lead Storage Engineer

Senior Data Scientist