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Siemens Digital Industries Software

<div>
 Siemens Digital Industries Software is a leading provider of solutions for the design, simulation, and manufacture of products across many different industries. Formula 1 cars, skyscrapers, ships, space exploration vehicles, and many of the objects we see in our daily lives are being conceived and manufactured using our software.
 
 
 About the role:
 
 
 Are you passionate about AI and interested in shaping the future of interactive and generative technology? We are seeking a talented AI Software Engineer to join our team and contribute to the development of cutting-edge copilot and agent services using Large Language Models (LLMs). Our aim is to create copilots that provide intelligent, conversational experiences and agents that will redefine how our users interact with our software.
 
 
 If you're excited about working with the latest advancements in Generative AI and delivering top-notch services in a fast-paced environment, we'd love for you to apply.
 
 
 What you&rsquo;ll be doing:
 
 
 As an AI Software Engineer, you will design, build, and maintain copilot and agent solutions powered by LLM technology. Your responsibilities include:
 
 
 <ul>
 <li>
 Assessing the current capabilities of agent services in the Siemens DI ecosystem for our adoption
 </li>
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 Collaborating with company-wide cross-functional teams to reflect our team&rsquo;s requirements and help extending central services features when necessary, using the contribution model.
 </li>
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 Collaborating with product teams for their adoption of agent frameworks; support integration of UI, help setting up product specific agents, ensure high quality by keeping up with the latest AI model capabilities.
 </li>
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 Ensuring the copilots and agents are scalable and maintain high performance
 </li>
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 Helping the transition of the organization towards AI-assisted products by training and upskilling product teams.
 </li>
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 Writing clean, testable code and engaging in peer code reviews to maintain high standards of software quality.
 </li>
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 Assessing service performance, troubleshooting issues, and deploying fixes to ensure seamless user experiences.
 </li>
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 Staying current with industry trends in agent development and LLM advancements, applying this knowledge to improve our service offerings.
 
 
 </li>
 </ul>
 What you&rsquo;ll bring:
 
 
 <ul>
 <li>
 Master&rsquo;s Degree in Computer Science, AI, or a related technical field, with relevant experience in copilot/agent development.
 </li>
 <li>
 Solid understanding of and experience with LLM frameworks and conversational AI technologies.
 </li>
 <li>
 Proficient in programming languages relevant to AI and copilot/agent development, such as Python.
 </li>
 <li>
 Experience with multi-team, collaborative software development including source control and collaborative design and code reviews
 </li>
 <li>
 Experience working with cloud platforms (AWS, Azure) and their AI-related services and tools is a plus.
 </li>
 <li>
 Experience in deploying and maintaining applications in a 24x7 production environment, including handling scalability and security considerations is beneficial.
 </li>
 <li>
 A proactive approach to problem-solving, a keen eye for optimization, and a passion for learning and implementing emerging technologies.
 </li>
 <li>
 Excellent collaborative skills for working in a highly interdisciplinary subject.
 
 
 </li>
 </ul>
 If you're excited by the prospect of developing AI-driven solutions that resonate with users and create compelling interactions, we encourage you to apply. If you don't have every qualification mentioned but believe you can bring value to our team, we're eager to know more about your unique perspectives and experiences. Join us and help build AI services that redefine the standard for AI-human interaction.
 
 
 We are Siemens:
 
 
 A collection of over 377,000 minds building the future, one day at a time in over 200 countries. We're dedicated to equality, and we welcome applications that reflect the diversity of the communities we work in. All employment decisions at Siemens are based on qualifications, merit, and business need. Bring your curiosity and creativity and help us Transform the everyday!
 
 
 We offer a comprehensive reward package which includes a competitive basic salary, bonus scheme, generous holiday allowance, pension, and private healthcare.
 
 
 Siemens is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
 
 
 If you believe in technology with purpose and are interested in learning more about Siemens Digital Industries Software before you apply then check out our Mission / Vision and our software portfolio, meet the team and join our Talent Community today so that we can stay connected in the areas that interest you: www.siemens.com/careers/transformtheeveryday/
 
 
 #DISWSIM
 
 
</div>

AI Software Engineer

Wadi Degla Developments

<div>
 
 
 Main Responsibilities:
 
 
 
 
 
 <ul>
 <li>
 Review contract data and related documents to ensure accuracy as recorded in the CRM (Initial Review).
 </li>
 </ul>
 
 
 
 <ul>
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 Oversee the creation and finalization cycles of all management contracts.
 </li>
 </ul>
 
 
 
 <ul>
 <li>
 Support the Sales Contracts team by answering inquiries related to contracts and supporting documents throughout the contract preparation phase.
 </li>
 </ul>
 
 
 
 <ul>
 <li>
 Notify all team members of any legal or internal process changes or updates.
 </li>
 </ul>
 
 
 
 <ul>
 <li>
 Revise all newly received legal templates and communicate them to the team.
 </li>
 </ul>
 
 
 
 <ul>
 <li>
 Notify related departments (Legal, Contracts, Developments, etc.) of requests received from clients.
 </li>
 </ul>
 
 
 
 <ul>
 <li>
 Set department yearly plan and targets in coordination with the direct manager.
 </li>
 </ul>
 
 
 
 <ul>
 <li>
 Prepare and submit forecasts for the department budget for discussion and approval by the direct manager.
 </li>
 </ul>
 
 
 
 <ul>
 <li>
 Ensure adherence to all department processes, policies, and procedures by the team and Sales departments, from unit reservations with Sales Advisors to the final approved contract delivery to clients.
 </li>
 </ul>
 
 
 
 <ul>
 <li>
 Inform Sales Managers of any changes in processes.
 </li>
 </ul>
 
 
 
 <ul>
 <li>
 Assign sales tasks to the Sales Contracts team.
 </li>
 </ul>
 
 
 
 <ul>
 <li>
 Receive client requests, delegate to team members, and ensure timely handling.
 </li>
 </ul>
 
 
 
 <ul>
 <li>
 Receive all remarks regarding clients&rsquo; grace periods ending and notify the Legal Department.
 </li>
 </ul>
 
 
 
 <ul>
 <li>
 Ensure that data in the CRM is consistently accurate and updated.
 </li>
 </ul>
 
 
 
 <ul>
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 Suggest enhancements and developments for the CRM to add new features according to business needs in coordination with the technical department.
 </li>
 </ul>
 
 
 
 <ul>
 <li>
 Conduct periodic meetings with the entire Sales Contracts team.
 </li>
 </ul>
 
 
 
 <ul>
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 Prepare and submit all requested periodic reports.
 </li>
 </ul>
 
 
 
 <ul>
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 Participate in recruiting and setting objectives for teams.
 </li>
 </ul>
 
 
 
 <ul>
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 Coach, monitor, and evaluate team performance.
 </li>
 </ul>
 
 
 
 
 
 Job requirements:
 
 
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree.
 </li>
 <li>
 Min. 10 years with proven experience in Contracts Department.
 </li>
 </ul>
</div>

Contract Manager

Soar Software Development Company

<div>About us:
Soar is a global fintech startup that specializes in financing and investment. Currently headquartered in Saudi Arabia, Soar is growing throughout the region with a mission to help people achieve their financial goals with innovative financial and property investment solutions and tools through its multi-purpose platform, designed to offer a simple and seamless user experience.
Position Overview:
We are seeking a Senior Scrum Master &amp; Jira Admin to lead Agile delivery while owning and continuously improving our Jira ecosystem. This role requires strong system thinking, delivery discipline, and the ability to influence both teams and leadership.
This is not a ceremony-focused role. It is a hands-on position responsible for delivery predictability, tooling architecture (Jira), and organizational improvement.
Key Responsibilities:<ul><li>
Own and continuously improve Jira configuration and architecture (workflows, automation rules, Rovo Agents, reporting structure).</li><li>
Build and maintain dashboards, filters, and reporting views that support leadership decision-making.</li><li>
Improve delivery predictability using flow-based metrics such as velocity, cycle time, throughput, and WIP limits.</li><li>
Identify bottlenecks in the delivery pipeline and drive systemic improvements.</li><li>
Act as a bridge between engineering, QA, product, design, and business stakeholders.</li><li>
Challenge unrealistic commitments and protect delivery predictability.</li><li>
Escalate risks early with structured impact analysis.</li><li>
Proactively identify organizational impediments beyond the team level and drive resolution.</li><li>
Influence leadership on Agile maturity improvements.</li><li>
Act as an initiative change agent, not just a process enforcer.</li></ul>
Qualifications 
Required: 
<ul><li>
5+ years of experience as a Scrum Master, with experience operating in complex, multi-team environments.</li><li>
Proven experience owning Jira configurations, workflows, and automation rules (not just using Jira).</li><li>
Strong understanding of flow-based delivery metrics and Agile system optimization.</li><li>
Demonstrated ability to handle stakeholder conflict and push back constructively.</li><li>
Strong facilitation, communication, and organizational skills.</li></ul>
Preferred: 
<ul><li>
Scrum certifications (CSM, A-CSM, PSM, or equivalent).</li><li>
Experience working in scaled Agile environments.</li><li>
Familiarity with DevOps practices and modern delivery pipelines.</li><li>
Immediate Joiner
</li><li>Arabic Speaker</li></ul></div>

Senior Scrum Master & Jira Admin

DeepSource Technologies

<div>We are looking for a highly capable Senior AI Engineer / MLOps Engineer to join our team and lead the design, development, deployment, and optimization of scalable, production-grade AI and machine learning solutions. The ideal candidate will have strong hands-on experience across AI engineering, machine learning, MLOps, cloud-native architecture, and data engineering, with the ability to transform experimentation into reliable, business-ready systems.
This role requires deep expertise in LLMs, RAG, agentic AI workflows, CI/CD automation, production ML lifecycle management, and modern data platforms. The selected candidate will be expected to lead end-to-end AI initiatives, work across multiple projects, collaborate with technical and business stakeholders, and ensure operational excellence across AI platforms.
Key Responsibilities<ul><li>Design, develop, deploy, and maintain production-grade AI and machine learning systems end to end.</li><li>Build and optimize LLM-powered applications, including RAG pipelines, prompt workflows, agent-based systems, and multimodal AI use cases.</li><li>Develop intelligent workflows using tool-calling, orchestration frameworks, and contextual reasoning patterns.</li><li>Fine-tune, evaluate, and operationalize machine learning and foundation models for enterprise use cases.</li><li>Build and manage MLOps pipelines covering training, evaluation, model registration, deployment, monitoring, and retraining.</li><li>Implement CI/CD pipelines for ML and AI workflows to support automated testing, release management, and controlled deployments.</li><li>Establish model monitoring frameworks for drift detection, feature attribution, inference quality, and performance tracking.</li><li>Ensure reproducibility, reliability, and version control across AI/ML environments.</li><li>Architect scalable AI/ML platforms using modern compute, storage, orchestration, monitoring, and search services.</li><li>Build repeatable environments using Infrastructure as Code.</li><li>Support secure, high-availability, and cost-efficient deployment models across development, staging, and production environments.</li><li>Design scalable inference and serving patterns for variable workloads.</li><li>Build and maintain automated data pipelines, ETL/ELT workflows, and data processing frameworks for AI/ML consumption.</li><li>Ensure data quality, lineage, governance, and versioning to support dependable model training and inference.</li><li>Work with structured and unstructured datasets across data lakes, data warehouses, and operational systems.</li><li>Deliver analytics-ready datasets to downstream systems and applications.</li><li>Lead multiple AI initiatives in parallel, including planning, execution, and coordination with internal teams and stakeholders.</li><li>Work closely with product, engineering, data, and business teams to deliver production-ready AI capabilities.</li><li>Contribute to architecture decisions, technical documentation, best practices, and engineering standards.</li><li>Support knowledge sharing, technical leadership, and continuous improvement across the AI function. 
</li></ul> 
 
Requirements<ul><li> 
Bachelor&rsquo;s degree in Computer Engineering, Computer Science, Artificial Intelligence, Data Science, or a related field.</li><li>5+ years of hands-on experience in AI engineering, machine learning engineering, MLOps, or data/ML platform engineering.</li><li>Proven experience deploying production AI/ML solutions in enterprise environments.</li><li>Strong programming experience in Python and SQL.</li><li>Strong experience with enterprise AI/ML architecture and delivery.</li></ul></div>

AI Architect - Riyadh,KSA

akwad

<div>Job Overview: 
We are seeking a talented and experienced AI/ML Engineer to design, develop, and deploy cutting-edge artificial intelligence and machine learning solutions. This role focuses on the core ML lifecycle, from data handling and model development to deployment, optimization, and monitoring in production environments. The ideal candidate will be passionate about leveraging the latest advancements in AI, particularly in areas like Large Language Models (LLMs) and Natural Language Processing (NLP), to build intelligent systems that drive innovation and solve complex problems. 
Key Responsibilities:
<ul><li>
Design, build, train, and fine-tune various machine learning models, with a strong focus on Large Language Models (LLMs) and Natural Language Processing (NLP) models.
</li><li>Collaborate with data scientists and engineers to acquire, preprocess, and manage data required for model training and evaluation.
</li><li>Implement and utilize AI/ML frameworks and libraries (e.g., PyTorch, TensorFlow, scikit-learn, Hugging Face transformers).
</li><li>Develop and implement APIs and integration points to make AI/ML models and services accessible to other engineering teams and systems.
</li><li>Deploy, manage, and monitor models and AI services in production environments, ensuring performance, scalability, and reliability.
</li><li>Utilize specialized AI development tools and frameworks such as LangChain, AutoGen, or other intelligent agent frameworks.
</li><li>Implement MLOps practices for model versioning, continuous integration/continuous deployment (CI/CD), monitoring, and retraining.
</li><li>Optimize models and inference pipelines for performance, efficiency, and cost-effectiveness.
</li><li>Stay updated with the latest research, techniques, and tools in the AI/ML field and propose new approaches.
</li><li>Collaborate effectively with product managers, data scientists, and other engineering teams (e.g., backend, frontend) to translate requirements into technical designs and integrate AI capabilities into products.
</li></ul>
Required Skills and Experience:
<ul><li>
4+ years of experience in a technical role with a strong focus on Machine Learning and AI development (ideally 2+ years dedicated AI/ML experience).
</li><li>Proficiency in Python and standard ML/AI libraries (e.g., NumPy, Pandas, scikit-learn, TensorFlow, PyTorch).
</li><li>Solid understanding of core Machine Learning concepts, algorithms, model evaluation techniques, and deployment strategies.
</li><li>Hands-on experience building, training, and deploying models, especially LLMs and NLP models.
</li><li>Experience working with LLM APIs (e.g., OpenAI, Anthropic) and relevant libraries/frameworks (e.g., Hugging Face transformers, LangChain, AutoGen).
</li><li>Familiarity with vector databases/stores (e.g., Pinecone, Weaviate, FAISS) and techniques like RAG (Retrieval Augmented Generation).
</li><li>Experience with model deployment tools and MLOps practices.
</li><li>Familiarity with cloud platforms (AWS, GCP, Azure) and containerization technologies (Docker, Kubernetes) for model deployment.
</li><li>Understanding of API design principles for serving machine learning models.
</li><li>Strong problem-solving skills and ability to translate business problems into technical AI/ML solutions.
</li><li>Excellent communication and collaboration skills.
</li></ul>
Nice-to-Haves:
<ul><li>
Experience with specific cloud ML services (e.g., AWS SageMaker, Google AI Platform/Vertex AI, Azure ML).
</li><li>Knowledge of data engineering pipelines and ETL processes.
</li><li>Experience with distributed training frameworks.
</li><li>Contributions to open-source AI/ML projects.
</li><li>Advanced degree (Master's or PhD) in Computer Science, Machine Learning, Data Science, or a related quantitative field.</li></ul></div>

AI/ML Engineer

GlobalFoundries

<div>About GlobalFoundries
GlobalFoundries (GF) is a leading full-service semiconductor foundry providing a unique combination of design, development, and fabrication services to some of the world&rsquo;s most inspired technology companies. With a global manufacturing footprint spanning three continents, GF makes possible the technologies and systems that transform industries and give customers the power to shape their markets. For more information, visit www.gf.com .
New College Graduates Overview:
We offer many full-time employment paths for recent graduates, which provide accelerated training in a fast-paced work environment, cross-functional working opportunities, and talent mobility. New college graduates are provided with mentorship, networking, and leadership opportunities, which give our new team members life-long connections and skills.
Summary of Role:
We are seeking a strategic and innovative analyst who can apply cutting-edge AI technologies to practical business opportunities, supporting functions like Manufacturing, Engineering, Global Supply Chain, Finance, and other functions. This role focuses on enabling AI adoption, building accelerators, innovating via proof of concepts, and driving measurable value across these critical business areas. Ideal for a New College Graduate (NCG) with strong critical thinking, problem solving, analytical and technical skills with a passion for AI innovation and emerging technologies.
Essential Responsibilities include:
<ul><li>Develop AI enablement strategies tailored for HR, Marketing, and Communications workflows.
</li><li>Identify and prioritize high-impact use cases in forecasting, product, marketing, and planning.
</li><li>Design and implement proof-of-concepts (POCs) and minimum viable products (MVPs) leveraging GenAI, ML, automation, agents, or other emerging technologies.
</li><li>Collaborate with relevant business teams to understand their challenges, identify ideal AI-enabled business processes, and develop hands-on prototypes
</li><li>Create reusable playbooks, reference architectures, and enablement assets for business teams.
</li><li>Collaborate with data platform and security teams to ensure secure and governed access to data for AI solutions.
</li><li>Partner with business teams on change management initiatives, including training and communication for adoption.
</li><li>Ensure compliance with Responsible AI principles and governance frameworks.
</li></ul>Other Responsibilities:
<ul><li>Perform all activities in a safe and responsible manner and support all Environmental, Health, Safety &amp; Security requirements and programs.
</li></ul>Required Qualifications:
<ul><li>Education &ndash; Graduating or graduated with Master&rsquo;s in Data Science, Engineering or related field from an accredited degree program.
</li><li>Must have at least an overall 3.0 GPA and proven good academic standing.
</li><li>Language Fluency - English (Written &amp; Verbal)
</li><li>Strong understanding of AI concepts, machine learning, and data analytics.
</li><li>Ability to understand detailed business processes and translate business problems or workflows into AI-enabled solutions.
</li></ul>Preferred Qualifications:
<ul><li>Prior related internship or co-op experience.
</li><li>Experience with GenAI tools, prompt engineering, agent development, and data visualization.
</li><li>Knowledge of supply chain, finance, or commercial operations workflows.
</li><li>Familiarity with Azure and AWS cloud platforms, Microsoft CoPilot, AI Factory, Bedrock, Quick Suite.
</li><li>Demonstrated prior leadership experience in the workplace, school projects, competitions, etc.
</li><li>Project management skills, i.e. the ability to innovate and execute solutions that matter; the ability to navigate ambiguity.
</li><li>Demonstrated strategic thinking and problem-solving skills
</li><li>Adaptability and eagerness to learn emerging technologies.
</li><li>Strong interpersonal and stakeholder management skills.
</li><li>Self-motivated with an innovative approach to problem solving and a can-do attitude
</li><li>Strong written and verbal communication skills
</li><li>Strong planning &amp; organizational skills
</li></ul>#NCGProgram
<div><div>Information about our benefits you can find here: https://gf.com/careers/opportunities-in-europe/</div></div></div>

AI Enablement Strategist (New College Graduate)