Solution Architect – Cloud & AI - Infrastructure Location: Doha, Qatar Contract- 12 Months Initial Contract & Extendable Salary negotiable + Visa + Health Insurance+ EOSB +Annual Leave Our client s a leading international communications company with a customer base of more than 100 million across the Middle East, North Africa and Southeast Asia. In Qatar, we are the leading communications company, delivering world-class services for consumers, businesses, residences and organizations. ROLE & RESPONSIBILITIES • Architect and support the deployment of GPU-accelerated AI and high performance computing (HPC) solutions across hybrid and multicloud environments. • Lead client workshops, technical discovery sessions, and solution design engagements tailored to enterprise and government clients in Qatar. • Design and optimize infrastructure for AI/ML workloads (training, inference, analytics) using cloud-native patterns and tools (e.g., Kubeflow, MLflow). • Leverage NVIDIA and partner ecosystems to deliver secure, performance optimized, and compliant solutions across sectors. SKILLS & EXPEIRENCE • 6+ years in technical consulting, solution architecture, or infrastructure engineering. • 4+ years’ experience with cloud and hybrid, or on premises infrastructure, architecture designs, migrations, industry standards, and/or technology management. • Familiarity with enterprise platforms such as Azure, GCP, Oracle, and ISVs like NetApp, VMware, and RedHat. • Expertise in GPU-enabled architecture design, cloud migrations, and hybrid environments.

Job Title: Project Manager Type: Freelance/Contract Duration: 3 months Start: ASAP Our client is a leading force in automation and cutting-edge technology, known for redefining industry standards in logistics and fulfilment through innovative, efficient, and forward-looking solutions. In this role, you will oversee the end-to-end delivery of engineering projects, with a primary focus on material handling systems, automation, and robotics within distribution and fulfilment environments. Your responsibilities will span the full project lifecycle—from initial planning and design through to installation, commissioning, and final launch—while working closely with both internal teams and external partners to ensure seamless execution. RESPONSIBILITIES Supervise and coordinate MHE (Material Handling Equipment) vendor for installation Prepare weekly and daily reports as required by the client’s Project Manager Provide overall site management, coordination, and planning with the site and project stakeholders Conduct site inspections at key milestones (e.g., start of construction, 60% and 100% installation, turnover, and close-out) Coach and guide all project teams (sub-contractors, maintenance engineers, commissioning engineers) throughout the execution lifecycle Coordinate with facility teams on scheduling, budgets, and phased turnover of buildings to ensure smooth installation of equipment without conflict or delay Ensure contracted resources deliver work to meet duration and quality targets, addressing underperformance Supervise construction works to ensure safe operations, in compliance with the client’s safety policies and in collaboration with on-site safety personnel Immediately report any safety concerns to the Programme Manager and Site Safety Manager BASIC QUALIFICATIONS 3+ years of project management experience 3+ years of experience in defining and implementing process improvement initiatives using data and metrics Background in MHE/logistics environments Strong ability to use data and metrics to drive improvements Cross-functional experience with both technical and non-technical teams Experience working in large-scale, fast-paced operational settings Bachelor's degree Advanced knowledge of Excel (including Pivot Tables and VLookUps) PREFERRED QUALIFICATIONS 3+ years of experience in full project delivery and reporting results to senior leadership Proven record in driving process improvements Stakeholder management experience across various organisational levels Skilled in building processes, managing projects and schedules Project management certification (e.g., PMP, PRINCE2, CAPM)

Job Title – AI Tech Lead Type – Contract/Freelance Location - Berlin, Germany (On-site) Start date - July Duration - 6 months extendable Our client's robotics team is seeking an experienced Tech Lead to join its Artificial General Intelligence Team in Berlin. In this hands-on role, you will apply the latest trends in AI planning research to solve real-world robotics problems. The team is focused on algorithmic innovation: combining existing planning and search algorithms to address robotics challenges in new, innovative ways. You will collaborate with a team of engineers and scientists conducting research experiments and building planning systems used by other science and engineering teams. We are looking for candidates with hands-on experience as a software engineer who have also led engineering teams in a scientific context. Ideal candidates will have played a leading role in major design and implementation decisions and actively contributed to the team’s software engineering efforts. KEY JOB RESPONSIBILITIES • Drive software and algorithmic design decisions • Define engineering work packages, see them through completion, drive completion, and adjust along the way • Design and build ML pipelines from data generation to model evaluation to production readiness • Be actively involved in software engineering Basic Qualifications • At least 5 years of experience as a software engineer • At least two years as a tech lead, engineering lead, engineering manager, or similar role involving ML solution development • Strong understanding of machine learning, particularly Deep Learning and Transformer Models • Master's degree in computer science, physics, mathematics, or a related field Preferred Qualifications • Practical experience in training Transformer models • Experience as a tech lead in a large tech environment • Proven ability to transform research insights into production-ready software • Experience as an applied scientist • Ph.D. in computer science, physics, mathematics, or any related field