knowledge engineer

Accenture

<div><p><b>We Are:</b></p><p>
Accenture is helping companies use generative AI and semantic layer to reinvent their enterprise and optimize business functions for breakthrough innovation and competitive advantage. With over 1,600 professionals dedicated to generative AI, leveraging the depth and experience of more than 40,000 AI and data professionals across the company our Advanced Data &amp; AI team brings together our Experienced Innovation, Strategic Investment, Exceptional Talent, and Power Ecosystem.</p><p></p><p><b>
You Are:</b></p><p>
As a Knowledge Engineer, you formulate real-world problems into practical, efficient, and scalable AI and Knowledge Graph problems.</p><ul><li><p>
You lead a team and provide guidance to explore and implement new methodologies, model building techniques, and cutting-edge algorithms, and applying these techniques with the right architecture to solve real-world problems.</p></li><li><p>
You have a deep understanding and ability to remain at the forefront of knowledge engineering, generative AI, LLM, and multi-modal models (with a focus on driving innovation by applying these techniques to new business problems, use cases, and scenarios).</p></li><li><p>
As needed by the specific problem, you design, evaluate, and maintain ontologies.</p></li><li><p>
As a significant part of this role, you will be justifying the value of innovative generative AI and knowledge graph approaches in the business problems, and you'll be expected to construct methodologies and data architectures that clearly demonstrate their value.</p></li><li><p>
You'll also work collaboratively with teams from both the business and technical side, including users, use case representatives, business owners, engineers, architects, and UI designers, to achieve end-to-end project development goals.</p></li></ul><p></p><p><b>
The Work:</b></p><ul><li><p>
Build Knowledge Graph solutions that transform clients&rsquo; data architecture.</p></li><li><p>
Design, develop, and implement AI and semantic solutions and ensure that all the pieces work together seamlessly</p></li><li><p>
Work with the project team, team leaders, project delivery leads, and client stakeholders to create stand-out Data &amp; AI offerings powered by graph-based technologies</p></li><li><p>
Develop strong relationships with clients and gain the trust of key advisors</p></li><li><p>
Make the business case for the semantic layer solution recommended to the client</p></li><li><p>
Pitch in on Accenture sales efforts when needed</p></li><li><p>
Continue to learn and develop cutting edge Data &amp; AI solutions, especially agentic technologies, provide through leadership on technology trends, new opportunities and innovations, or foreseeable limitations, risks, and concerns.</p></li></ul><p></p><p>
Travel may be required for this role. The amount of travel will vary from 0% to 100% depending on business need and client requirements.</p></div>
<br>
<div><ul><li><b>Here's what you need</b></li><li><p>
Bachelor's degree or equivalent (minimum 12 years' work experience). If Associate&rsquo;s Degree, must have equivalent minimum 6-year work experience</p></li><li><p>
Minimum of 4 years of experience in designing and developing knowledge graph solutions and graph-based machine learning models, functional and technical experience required.</p></li><li><p>
Minimum of 3 end-to-end data pipeline implementation for AI applications, particularly those involving LLMs or similar models, including hands-on design and configuration</p></li><li><p>
Minimum of 6 years strong knowledge of relational databases, object stores, graph databases (e.g. Stardog, Neo4J, Amazon Neptune), and vector databases</p></li><li><p>
Minimum of 6 years of experience in Knowledge Graph technologies (e.g. RDF, SPARQL, LPG, SHACL)</p></li><li><p>
Minimum of 6 years of experience with schema design, ontology management, and Knowledge Graph curation.</p></li><li><p>
Minimum of 6 years of managerial experience working with people with the ability to clearly explain the value of semantic layer and knowledge graphs to senior business and technology stakeholders, and proven track record selling and /or pre-sales and delivering data transformation programs and developing teams.</p></li></ul><p></p><p><b>
Bonus Points If:
</b></p><ul><li><p>Experience in Practical experience with NLP techniques and/or Search Techniques, prompt engineering</p></li><li><p>
Experience with LLMs for enterprise-scale applications.</p></li><li><p>
5+ years of hands-on experience with cloud platforms (AWS, Azure, GCP)</p></li><li><p>
5+ years of experience in Python, with experience in frameworks like Tensorflow, PyTorch, and tools for building ETL pipelines (e.g. Apache NiFi, Airflow)</p></li><li><p>
Strong collaboration skills with the ability to work across engineering, research, and product teams across multiple time zones.</p></li><li><p>
You have external client-facing consulting experience</p></li><li><p>
Ph.D. in Computer Science, Computer or Electrical Engineering, Mathematics, or a related field.</p></li><li><p>
Broad experience in diverse ML techniques and agentic systems.</p></li></ul><p></p>
Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation for roles that may be hired as set forth below. We anticipate this job posting will be posted until 06/22/2026. Accenture offers a market competitive suite of benefits including medical, dental, vision, life, and long-term disability coverage, a 401(k) plan, bonus opportunities, paid holidays, and paid time off. See more information on our benefits here:
<p>
U.S. Employee Benefits | Accenture</p>
Role Location Annual Salary Range California $132,500 to $338,300 Cleveland $122,700 to $270,600 Colorado $132,500 to $292,200 District of Columbia $141,100 to $311,200 Illinois $122,700 to $292,200 Maryland $132,500 to $292,200 Massachusetts $132,500 to $311,200 Minnesota $132,500 to $292,200 New York $122,700 to $338,300 New Jersey $141,100 to $338,300 Washington $141,100 to $311,200<p><b>
Requesting an Accommodation</b></p><p>
Accenture is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired.</p><p>
If you would like to be considered for employment opportunities with Accenture and have accommodation needs such as for a disability or religious observance, please call us toll free at 1 (877) 889-9009 or send us an email or speak with your recruiter.</p><p></p><p><b><br>
Equal Employment Opportunity Statement</b></p><p>
We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.</p><p>
For details, view a copy of the Accenture Equal Opportunity Statement</p><p>
Accenture is an EEO and Affirmative Action Employer of Veterans/Individuals with Disabilities.</p><p>
Accenture is committed to providing veteran employment opportunities to our service men and women.</p><p></p><p><b><br>
Other Employment Statements</b></p><p>
Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States.</p><p>
Candidates who are currently employed by a client of Accenture or an affiliated Accenture business may not be eligible for consideration.</p><p>
Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process. Further, at Accenture a criminal conviction history is not an absolute bar to employment.</p><p>
The Company will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Additionally, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the Company's legal duty to furnish information.</p><p>
California requires additional notifications for applicants and employees. If you are a California resident, live in or plan to work from Los Angeles County upon being hired for this position, please click here for additional important information.</p><p>
Please read Accenture&rsquo;s Recruiting and Hiring Statement for more information on how we process your data during the Recruiting and Hiring process.</p></div>

Knowledge Engineer / Semantic Expert for AI Sr Manager

TAT IT Technolgies

<div>
 <strong>
  We have an Urgent requirement for Confluent Kafka Engineer with experience in real time data streaming for one of our banking client in Abu Dhabi, UAE
  <br/>
  <br/>
 </strong>
 <strong>
  Strong experience in Confluent Kafka is MUST for this role
  <br/>
  <br/>
 </strong>
 <strong>
  Design, develop, and maintain real-time data streaming solutions using Confluent Kafka&mdash;Must for this role
  <br/>
  <br/>
 </strong>
 <strong>
  Develop and manage Kafka producers, consumers, topics, partitions, and schemas&mdash;Must for this role
  <br/>
  <br/>
 </strong>
 <strong>
  Implement Kafka Streams, Kafka Connect, and integrations with external systems&mdash;-Must for this role
  <br/>
  <br/>
 </strong>
 <strong>
  Job Summary
  <br/>
  <br/>
 </strong>
 We are seeking a highly skilled Confluent Kafka Engineer to join our dynamic team. The ideal candidate will be responsible for the development, User Acceptance Testing (UAT), and production support of our Confluent Kafka-based systems. This role requires deep expertise in Kafka architecture, including Confluent Control Center, KSQLDB, Kafka Streams, and Kafka Connect. The engineer will collaborate closely with cross-functional teams to ensure the smooth operation of our data streaming services and provide support across various environments.
 <br/>
 <br/>
 <strong>
  Development
  <br/>
  <br/>
 </strong>
 <strong>
  Key Responsibilities:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Design, develop, and implement Kafka-based solutions to meet business requirements, utilizing Confluent Control Center, KSQLDB, Kafka Streams, and Kafka Connect.
  </li>
  <li>
   Write and maintain high-quality code for Kafka producers, consumers, and stream processing applications.
  </li>
  <li>
   Develop and manage Kafka connectors for seamless integration with external systems, ensuring data consistency and reliability.
  </li>
  <li>
   Utilize Kafka Streams for real-time processing of streaming data, transforming and enriching data as it flows through the pipeline.
  </li>
  <li>
   Employ KSQLDB for stream processing tasks, including real-time analytics and transformations.
  </li>
  <li>
   Collaborate with data engineers, software developers, and DevOps teams to integrate Kafka solutions with existing systems.
  </li>
  <li>
   Ensure all Kafka-based solutions are scalable, secure, and optimized for performance.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  User Acceptance Testing (UAT)
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Develop and execute UAT plans to validate Kafka solutions, including components such as Kafka Streams, KSQLDB, and Kafka Connect, before deployment to production.
  </li>
  <li>
   Work closely with QA teams to identify and resolve defects during the UAT phase.
  </li>
  <li>
   Ensure all UAT activities comply with the organization&rsquo;s standards and best practices.
  </li>
  <li>
   Provide detailed reports on UAT outcomes and work with developers to implement necessary fixes.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Production Support
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Monitor and maintain Kafka clusters, including components like Confluent Control Center, to ensure high availability and reliability of data streaming services.
  </li>
  <li>
   Troubleshoot and resolve issues related to Kafka performance, latency, and data integrity, including issues specific to Kafka Streams, KSQLDB, and Kafka Connect.
  </li>
  <li>
   Perform routine maintenance tasks such as patching, upgrades, and backups for Kafka clusters and associated components.
  </li>
  <li>
   Implement monitoring solutions to proactively identify and mitigate potential production issues, leveraging Confluent Control Center for comprehensive cluster visibility.
  </li>
  <li>
   Provide 24/7 support for production systems, including participation in on-call rotation.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Qualifications
  <br/>
  <br/>
 </strong>
 Education: Bachelor&rsquo;s degree in Computer Science, Information Technology, or a related field.
 <br/>
 <br/>
 <strong>
  Experience
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   3+ years of hands-on experience with Apache Kafka and Confluent Kafka in a production environment, including experience with Confluent Control Center, KSQLDB, Kafka Streams, and Kafka Connect.
  </li>
  <li>
   Proven experience in Kafka development, including producer and consumer API, stream processing, and connector development.
  </li>
  <li>
   Experience with Kafka cluster management, including setup, configuration, monitoring, and troubleshooting.
  </li>
  <li>
   Familiarity with distributed systems, microservices architecture, and event-driven design patterns.
  </li>
  <li>
   Experience with cloud platforms (e.g., AWS, Azure) and containerization (Kubernetes) is a plus.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Technical Skills
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Proficiency in programming languages such as Java, Python, or Scala.
  </li>
  <li>
   Strong knowledge of Kafka internals, including brokers, zookeepers, topics, partitions, and offsets.
  </li>
  <li>
   Experience with monitoring tools (e.g., Prometheus, Grafana) and logging frameworks (e.g., Log4j, ELK Stack).
  </li>
  <li>
   Proficiency in using Confluent Control Center for monitoring, managing, and optimizing Kafka clusters.
  </li>
  <li>
   Expertise in Kafka Streams for building scalable, fault-tolerant stream processing applications.
  </li>
  <li>
   Experience with KSQLDB for real-time processing and analytics on Kafka topics.
  </li>
  <li>
   Strong understanding of Kafka Connect for integrating Kafka with external data sources and sinks.
  </li>
  <li>
   Understanding of networking, security, and compliance aspects related to Kafka.
  </li>
  <li>
   Familiarity with CI/CD pipelines and automation tools (e.g., Jenkins, GitLab CI).
   <br/>
   <br/>
  </li>
 </ul>
 Skills: bank,streams,kafka,confluent
</div>


Confluent Kafka Engineer-Bank

Coca-Cola HBC

<div><div><div><div><div><div><div><div>Egypt (Cairo)
</div></div></div></div><div><div><div>Information Technology
</div></div></div><div><div><div>Hybrid
</div></div></div><div><div><div>Experienced Professionals
</div></div></div></div></div></div><div><div><div><div><div><div><b>Department:</b> Data Insights &amp; Artificial Intelligence, Digital &amp; Technology Platform Services<br>
</div><div></div><br>
<div>We are seeking a visionary Senior Knowledge Graph &amp; Context Engineer for the end-to-end design, build, deployment, and continuous improvement of the knowledge and context capabilities that power our AI assistants along with our enterprise search, and decision-support solutions. You will harness the context layer creation that will connect enterprise data, business knowledge, semantic models, and AI services, ensuring that product, ingredient, regulatory, quality, sustainability, marketing, and supply chain knowledge is delivered accurately, safely, and at speed through reusable and scalable solutions. The ideal candidate will be part of our enterprise insights and transformation agenda, helping translate fragmented knowledge assets across source systems, such as ERP , CRM , PLM, PIM/MDM, LIMS, Regulatory, DAM, and SCM, into trusted, reusable, and governed context packs for Agentic AI use cases. The position requires a blend of business understanding, semantic / knowledge engineering capability, and AI delivery expertise, with a strong focus on enabling high-quality grounding, retrieval, governance, and adoption across the organization.<br>
</div><div></div><br>
<div><b>YOUR NEW KEY RESPONSIBILITIES:
</b></div><div><ul><li>Design, build, and operationalize the enterprise context layer that supports AI assistants, semantic search, and decision-support solutions across business domains.
</li><li>Transform enterprise knowledge assets into reusable, trusted, and scalable context packs for Agentic AI outcomes.
</li><li>Design and optimize retrieval pipelines, grounding patterns, chunking strategies, metadata enrichment, and prompt/context orchestration to ensure accurate, relevant, and safe AI responses.
</li><li>Partner closely with Ontology Engineers, AI Engineers, and Data teams to apply semantic enrichment, taxonomies, controlled vocabularies, and relationship modelling that improve discoverability, interoperability, and reasoning.
</li><li>Embed policy-aware controls, access rules, governance standards, and quality checks into context pipelines to ensure compliant and trusted use of enterprise knowledge.
</li><li>Work with Data Platform and Engineering teams to productionize context services across graph, search, and AI ecosystems, ensuring performance, scalability, monitoring, and maintainability.
</li><li>Partner with Product, Data Platform, Security / Compliance, Architecture, and business domain teams to align priorities with business needs and accelerate adoption of AI-enabled knowledge solutions.
</li><li>Help improve findability, reuse, decision quality, and business efficiency, while tracking impact, adoption, and value realization.
</li><li>Support the embedding of knowledge-driven and AI-enabled processes into business workflows, tools, and digital products.
</li>Drive continuous improvement in knowledge quality, retrieval effectiveness, semantic consistency, and AI response performance.<br>
<li>
</li></ul></div><div></div><br>
<div><b>ARE THESE YOUR SECRET INGREDIENTS?
</b></div><div><ul><li>BSc or MSc in a relevant field such as Computer Science, Information Science, Data Science, Artificial Intelligence, Knowledge Engineering, Computational Linguistics, or a related discipline.
</li><li>1+ experience in knowledge engineering, context engineering, semantic technologies, enterprise search, GenAI / LLM solutions, or AI product enablement.
</li><li>Strong understanding of one or more of the following: ontologies, taxonomies, controlled vocabularies, knowledge graphs, metadata modelling, semantic enrichment, and information retrieval.
</li><li>Hands-on experience designing or supporting RAG pipelines, prompt / grounding patterns, context orchestration and memory management, context quality and provenance, semantic search, and evaluation of AI responses.
</li><li>Experience with relevant technologies such as graph databases, vector / search platforms, semantic web technologies, and cloud AI / data ecosystems. Exposure to tools and W3C standards such as RDF, OWL, SKOS, SHACL, SPARQL, Neo4j, Stardog, Ontotext GraphDB, Azure ecosystem, or equivalent, is considered a strong advantage.
</li><li>Experience working with enterprise knowledge and data domains such as PLM, PIM / MDM, LIMS, Regulatory, DAM, ERP, SCM, or other structured and unstructured business data sources.
</li><li>Strong influencing, interpersonal, and communication skills, with the ability to work effectively across Data, AI, Technology, and business functions.</li>
Experience presenting solutions, trade-offs, and recommendations to senior management and technical leadership teams.<br>
<li>
</li></ul></div><div></div><br>
<div><b>ABOUT YOUR NEW TEAM:
</b></div><div>We are Coca-Cola Hellenic, a growth-focused consumer goods business and strategic bottling partner of the Coca-Cola Company. We bottle, distribute and sell an unrivalled range of products in 29 markets in Europe, Africa and Eurasia. As we do, we create value for all stakeholders, support socio-economic growth and build a more positive environmental impact.
</div><div>We bring together more than 30,000 people from over 70 nationalities, coming from five continents. The diversity of our markets, from mature to emerging economies, provides a wide range of attractive opportunities for growth.
</div><div>We nurture our talents. We give opportunities to people across all functions and levels, as well as different geographies, backgrounds and education. We are willing to take a risk on the people we believe in, even if they don&rsquo;t have the perfect experience. We have faith in what every person can be.<br>
</div><div></div><br>
<div><b>AT COCA-COLA HBC, DIVERSITY HELPS US THRIVE
</b></div><div>At Coca-Cola HBC, we are an inclusive employer that thrives on diversity. This means our environment provides equal opportunities for all, regardless of race, color, religion, age, disability, sexual orientation, or gender identity. Join us in nurturing a culture where everyone belongs and contributes to our collective success.</div><div>
</div></div></div></div></div></div><div></div><div><div><div><h3 class="jobSectionHeader"><b>Benefits
</b></h3></div></div><div><div><div><div><div>Coaching and mentoring programs</div>
</div></div><div><div><div>Development opportunities</div>
</div></div><div><div><div>Equal opportunity employer</div>
</div></div><div><div><div>IT Equipment</div>
</div></div><div><div><div>Work with iconic brands</div></div></div></div></div></div></div>

Senior Engineer – Knowledge Graph & Context

Qualcomm

<div><h2 class="jobSectionHeader"><b>Company:
</b></h2>Qualcomm Middle East Information Technology Company LLC
<p></p><h2 class="jobSectionHeader"><b>Job Area:
</b></h2>Engineering Group, Engineering Group &gt; Software Engineering
<p></p><p><b>General Summary:
</b></p><p></p><p><b>About Us
</b></p><div>Qualcomm is growing its presence in Riyadh and is hiring Data Centre Engineers to support our expanding infrastructure across the region <b>. </b>As Saudi Arabia accelerates its digital transformation under Vision 2030, Qualcomm is investing in world‑class computing and data centre capabilities to power AI, cloud, and advanced connectivity at scale. This is a unique opportunity to work in a fast‑growing technology hub, supporting critical environments and helping shape the future of data centre operations in the Kingdom and beyond.
</div><p></p><p><b>About the Role
</b></p><p>We are seeking a Staff‑level ML Applications Engineer with deep hands‑on experience in C++/Python‑based AI development in a Linux environment. The ideal candidate operates with a high degree of autonomy, defines technical goals and scope for assigned problem areas, and leads development efforts through execution. This role requires strong analytical skills, effective cross‑team collaboration, and the ability to mentor and guide other engineers by example while remaining hands‑on and execution‑focused.
</p><p></p><p><b>We are looking for </b><b>8+ years Software Engineering or related work experience
</b></p><p></p><p><b>Key Responsibilities will include:
</b></p><ul><li>Improve and optimize key Deep Learning models on Qualcomm AI 100
</li><li>Build deep learning framework extensions for Qualcomm AI 100 in upstream open-source repositories
</li><li>Collaborate and interact with internal teams to analyze and optimize training and inference for deep learning
</li><li>Build software tools and ecosystem around AI SW Stack.
</li><li>Work on Triton, ExecuTorch, Inductor, TorchDynamo to build abstraction layers for inference accelerator.
</li><li>Optimize workloads for both scale-up (multi-SoC) and scale-out (multi-card) systems
</li><li>Optimize the entire deep learning pipeline including graph compiler integration
</li>Apply knowledge of software engineering best practices.<br>
<li>
<br>
<br>
</li></ul><p></p><p><b>Desirable Skills and Aptitudes
</b></p><p></p><p><b>Required Skills and Aptitude
</b></p><ul><li>Deep Learning experience or knowledge &ndash; LLMs, Natural Language Processing, Vision, Audio, Recommendation systems
</li><li>Excellent C/C++ Or Python programming and software design skills, including debugging, performance analysis, and test design.
</li><li>Very strong hold on Pytorch and JIT.
</li><li>Well versed with open-source development practices.
</li><li>Ability to work independently, define requirements and scope, and lead a development effort.
</li><li>Mentors and guides team members through influence and example, without direct people‑management responsibility
</li><li>Avid problem solver &ndash; should be able to find solutions to key engineering and domain problems.
</li><li>Strong developer with a research mindset &ndash; strives to innovate.
</li></ul><p></p><p><b>Preferred Skills
</b></p><ul><li>Experiences to run workloads on large scale heterogeneous clusters is a plus
</li><li>Knowledge of compiler is a plus.
</li><li>Hands-on experience with CUDA, CUDNN is a plus.
</li></ul><p></p><p><b>Qualifications
</b></p><p></p><ul><li>Bachelor's / Masters/ PHD degree in Engineering, Machine learning/ AI, Information Systems, Computer Science, or related field.
</li><li>8+ years Software Engineering or related work experience.
</li><li>2+ years experience with Programming Language such as C++, Python.
</li></ul><p></p><p><b>What's on Offer
</b></p><p>Apart from working with great people, we offer the below:
</p><ul><li>Salary including housing &amp; transport allowance
</li><li>Stock (RSU's) and performance related bonus
</li><li>16 weeks fully paid Maternity Leave
</li><li>6 weeks fully paid Paternity Leave
</li><li>Employee stock purchase scheme
</li><li>Child Education Allowance
</li><li>Relocation and immigration support (if needed)
</li><li>Life and Medical Insurance
</li><li>Live+ Well Reimbursement for health and recreational membership fees
</li></ul><p></p><p><b>Minimum Qualifications:
</b></p><ul><li>Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience.
</li></ul>OR
<br>
Master's degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Software Engineering or related work experience.
<br>
OR
<br>
PhD in Engineering, Information Systems, Computer Science, or related field.
<br>
<br>
<ul><li>2+ years of academic or work experience with Programming Language such as C, C++, Java, Python, etc.
</li></ul><p></p><p>*References to a particular number of years experience are for indicative purposes only. Applications from candidates with equivalent experience will be considered, provided that the candidate can demonstrate an ability to fulfill the principal duties of the role and possesses the required competencies.
</p><p></p><div><p>Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here . Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).
</p></div><p></p><p>Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.
</p><p></p><p><b>To all Staffing and Recruiting Agencies </b>: Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.
</p><p></p><p>If you would like more information about this role, please contact Qualcomm Careers .</p></div>

Machine Learning Engineer, Staff level (Datacentre AI Engineering) - Riyadh, KSA

ITproposal

<div>
 <strong>
  About The Job Nutanix Engineer/ Networking IT Support Engineer
  <br/>
  <br/>
 </strong>
 <strong>
  Job Title:
 </strong>
 Nutanix Engineer/ Networking IT Support Engineer
 <br/>
 <br/>
 <strong>
  Location:
 </strong>
 ALL MAIN CITIES IN BAHRAIN
 <br/>
 <br/>
 <strong>
  Employment Type:
 </strong>
 Freelance (On-Call Basis)
 <br/>
 <br/>
 <strong>
  Priority:
 </strong>
 High (Immediate Hiring)
 <br/>
 <br/>
 <strong>
  Role Overview
  <br/>
  <br/>
 </strong>
 We are hiring a Nutanix Engineer/ Networking IT Support Engineer to support enterprise infrastructure environments across
 <strong>
  Country
 </strong>
 . This role requires flexibility for on-call support and the ability to work across regional time zones.
 <br/>
 <br/>
 <strong>
  Key Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Deploy and manage Nutanix HCI environments (AOS, AHV, Prism)
  </li>
  <li>
   Perform upgrades, patching, and lifecycle management
  </li>
  <li>
   Troubleshoot and resolve infrastructure issues
  </li>
  <li>
   Implement backup and disaster recovery solutions
  </li>
  <li>
   Provide on-call incident response support
  </li>
  <li>
   Work with global teams on cloud and infrastructure projects
  </li>
  <li>
   Maintain system documentation
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Required Skills &amp; Experience
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   5+ years in infrastructure or virtualization engineering
  </li>
  <li>
   Strong experience with Nutanix stack
  </li>
  <li>
   Knowledge of VMware or Hyper-V
  </li>
  <li>
   Networking fundamentals (TCP/IP, VLANs, DNS, DHCP)
  </li>
  <li>
   Experience with DR and backup tools
  </li>
  <li>
   Scripting (PowerShell/Python) is advantageous
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Mandatory Requirement
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Minimum 90% pass score on induction assessment
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Preferred Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Nutanix Certification (NCP or higher)
  </li>
  <li>
   Exposure to AWS, Azure, or GCP
  </li>
  <li>
   Automation tools knowledge (Ansible, Terraform)
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Soft Skills
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Strong communication skills (Local language &amp; English preferred)
  </li>
  <li>
   Ability to handle critical incidents
  </li>
  <li>
   Team-oriented and proactive
  </li>
 </ul>
</div>


Nutanix Engineer/ Networking IT Support Engineer

Penspen

<div><div><p><b>Senior Process Engineer (Offshore)</b></p>
<p><b>
Location: </b>Woking, Surrey, UK</p>
<p><b>
Duration:</b> 12-16 month Contract</p>
<p><b>
Salary:</b> Negotiable depending on experience</p><br>
<p></p>
<p><b>
Applicant must have the right to work in the United Kingdom</b></p><br>
<p></p>
<p>
Penspen <b>www.penspen.com</b> are looking for a <b>Senior Process Engineer (Offshore)</b>.</p>
<p>
The primary location is Woking, Surrey, United Kingdom, you may be required to travel &amp; work in Al Khafji, KSA.</p><br>
<p></p>
<p><b>
Main Purpose of the role:</b></p>
<p>
The Senior Process Engineer may operate within the Core Engineering Team or PMT project team environment. He may have engineer grade Process personnel under his responsibility and will be tasked with their control and management and the delegation of activities to such support personnel. He may work under the supervision of a Lead Process Engineer in which case his responsibilities will be as delegated. The Senior Process Engineer may be in charge of any or all of the following tasks. The position is to be based in UK.</p><br>
<p></p>
<p><b>
Knowledge / Experience (Skills):</b></p>
<ul>
<li>At least eight (8) years of experience; Six (6) years of them within the field of Process Engineering for major Oil and Gas/Petrochemical projects.</li>
<li>PMC experience at similar role for at least several years is preferable.</li>
<li>Knowledge of Saudi Aramco Desktop Standard and procedures/practices is beneficial</li></ul><br>
<p></p>
<p><b>
Job Responsibilities:</b></p>
<ul>
<li>Day to day control of FEED engineers in preparation of process simulations, PFD, P&amp;IDs, hydraulic calculation, line and centrifugal pump sizing, Heat and Material balance to ensure proper and correct FEED output.</li>
<li>Provide timely comments on FEED deliverables and ensure their resolution and implementation.</li></ul><br>
<p></p>
<p><b>
Qualifications:</b></p>
<ul>
<li><p>BSc degree in Chemical / process of Gas &amp; oil Engineering. Member of an appropriate professional organization.</p>
</li>
</ul><p>If you have the skills and are interested to apply, please click<b> https://careers.penspen.com/vacancy/senior-process-engineer-uk-608797.html#hs_show_apply_popup=true</b></p><br>
<p></p>
<p>
#LI-AS2</p>
<p>
#LI-ONSITE</p></div></div>

Senior Process Engineer

capital engineering consultancy

<p><b>Senior Civil Engineer Jobs in Abu Dhabi | Warehouse / Industrial Projects | Engineering Consultancy</b></p><p><b>Location:</b> Abu Dhabi, UAE<br/><b>Job Type:</b> Full-Time<br/><b>Industry:</b> Engineering Consultancy / Construction / Industrial Projects</p><p><b>Job Overview</b></p><p>We are hiring a <b>Senior Civil Engineer in Abu Dhabi</b> with <b>8+ years of experience</b> in <b>engineering consultancy</b> specializing in <b>warehouse and industrial construction projects</b>.</p><p>This role is ideal for professionals searching for:<br/><i>Senior Civil Engineer jobs in UAE, Civil Engineer jobs in Abu Dhabi, Consultancy Civil Engineer roles, Warehouse construction engineer jobs.</i></p><p><b>Key Responsibilities</b></p><ul><li>Manage <b>civil engineering design and site supervision</b> for warehouse and industrial projects</li><li>Review and approve <b>shop drawings, structural drawings, BOQs, and technical submissions</b></li><li>Coordinate with <b>consultants, contractors, architects, and MEP teams</b></li><li>Ensure compliance with <b>Abu Dhabi Municipality (ADM), ADDC, Civil Defense regulations</b></li><li>Conduct <b>site inspections, QA/QC checks, and progress monitoring</b></li><li>Handle <b>project planning, scheduling, and execution</b></li><li>Prepare and review <b>method statements, technical reports, and RFIs</b></li><li>Resolve <b>design and construction-related technical issues</b></li><li>Ensure adherence to <b>health, safety (HSE), and quality standards</b></li><li>Attend <b>client meetings and provide technical leadership</b></li></ul><p><b>Required Skills &amp; Qualifications</b></p><ul><li>Bachelor&rsquo;s Degree in <b>Civil Engineering</b></li><li>Minimum <b>8+ years experience as Civil Engineer / Senior Civil Engineer</b></li><li>Strong background in <b>engineering consultancy in UAE</b></li><li>Proven experience in <b>warehouse construction, industrial buildings, logistics facilities</b></li><li>Expertise in <b>AutoCAD, Civil 3D, MS Office</b> (Revit preferred)</li><li>Knowledge of <b>UAE building codes, authority approvals, and construction standards</b></li><li>Strong skills in <b>project coordination, stakeholder management, and communication</b></li></ul><p><b>Preferred Keywords (for search visibility match)</b></p><p>Senior Civil Engineer UAE | Civil Engineer Abu Dhabi | Warehouse Projects Engineer | Industrial Construction Engineer | Engineering Consultancy Jobs UAE | Site Engineer Civil | Project Engineer Civil UAE</p><p><b>Why Join Us</b></p><ul><li>Work on <b>large-scale warehouse and industrial projects in Abu Dhabi</b></li><li>Exposure to <b>high-value consultancy projects</b></li><li>Career growth in a <b>reputed engineering consultancy environment</b></li></ul><p><b>How to Apply</b></p><p>Apply now for one of the top <b>Senior Civil Engineer jobs in Abu Dhabi</b>:<br/><b>career@capitalengg.com</b></p><p>Job Type: Permanent</p><p>Application Question(s):</p><ul><li>What is your notice period ? </li></ul><p>Experience:</p><ul><li>Senior Civil Engineer: 8 years (Required)</li><li>Warehouse Project : 3 years (Required)</li><li>Engineering Consultancy : 2 years (Required)</li></ul><p>Work Location: In person</p>

Senior Civil Engineer(Industrial Project)

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