project engineer

site engineer

planning engineer

mechanical engineer

mep engineer

mlops engineer

Etihad Credit Bureau

<div>
 <p>
  <strong>
   JOB DESCRIPTION SUMMARY
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  The Machine Learning Engineer role will specialise in maintaining scoring models, production system maintenance and high-availability operations. You'll orchestrate and maintain our AzureML/Databricks-based scoring engine, ensure 99.99% uptime for production models, perform emergency fixes, and manage QA/UAT processes. This role partners with data scientists to operationalize models and data engineers to ensure efficient data flows.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   KEY DUTIES &amp; RESPONSIBILITIES
  </strong>
 </p>
 <ul>
  <li>
   <strong>
    Production Model Maintenance:
   </strong>
   Monitor, troubleshoot, and rectify issues in deployed credit scoring models (e.g., score drift, feature misalignment, output anomalies).
  </li>
  <li>
   <strong>
    Platform Orchestration:
   </strong>
   Manage AzureML pipelines &amp; Databricks workflows for model retraining, batch scoring, and real-time inference.
  </li>
  <li>
   <strong>
    High-Availability Engineering:
   </strong>
   Ensure 24/7 uptime of scoring APIs serving banking clients; implement failover systems and load balancing.
  </li>
  <li>
   <strong>
    Release Management:
   </strong>
   Oversee QA/UAT processes for model updates including back-testing, shadow deployments, and canary releases.
  </li>
  <li>
   <strong>
    Model Governance:
   </strong>
   Maintain audit trails for model versions, inputs/outputs, and performance metrics. Support Compliance and Audit with creation of logs when requested.
  </li>
  <li>
   <strong>
    Incident Response:
   </strong>
   Lead troubleshooting of scoring engine failures with SLAs for financial institution clients.
  </li>
  <li>
   <strong>
    Infrastructure Optimization:
   </strong>
   Tune AzureML/Databricks clusters for cost-performance efficiency at scale.
  </li>
  <li>
   <strong>
    Vendor Management:
   </strong>
   Ensure vendor support is completing work as per scope and SLAs. Rectifying any vendor delivery issues.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   EDUCATION &amp; SKILLS
  </strong>
 </p>
 <ol>
  <li>
   Educated with at least bachelor&rsquo;s degree or equivalent in related field
  </li>
  <li>
   Education specialization or master&rsquo;s degree in computer science, Software Engineering
  </li>
  <li>
   Proficient in English
  </li>
  <li>
   Preferred proficiency in Arabic
  </li>
  <li>
   In-depth knowledge of React Native and Next JS and related modules, components and libraries
  </li>
  <li>
   Preferred In-depth knowledge of SiteCore or experience integrating with SiteCore
  </li>
 </ol>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   EXPERIENCE &amp; KNOWLEDGE
  </strong>
 </p>
 <ol>
  <li>
   Bachelor's/Master's in Computer Science, Engineering, Data Science, or related field
  </li>
  <li>
   2+ years in Data Science or Software Engineering experience
  </li>
  <li>
   2+ years production ML operations experience, MLOps lifecycle management, including monitoring, retraining, and model versioning.
  </li>
  <li>
   Strong problem-solving skills and the ability to resolve issues efficiently.
  </li>
  <li>
   CI/CD for ML systems using tools such as Azure DevOps, GitHub Actions, MLflow, and other similar tools
  </li>
  <li>
   Ability to adapt ML workflows across different cloud environments (Azure, AWS, GCP) as needed.
  </li>
 </ol>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   ABILITIES &amp; SPECIFIC REQUIREMENTS
  </strong>
 </p>
 <ol>
  <li>
   Practical experience in cloud-based ML platforms such as AzureML, Databricks, or equivalent (e.g., SageMaker, Vertex AI), with a preference for Azure.
  </li>
  <li>
   Python/PySpark for model debugging and patching. Working knowledge of Scikit-Learn and NumPy
  </li>
  <li>
   Deep understanding of credit scoring systems: feature engineering, scorecard interpretation, and output validation
  </li>
  <li>
   Credit bureau data structures (tradelines, inquiries, public records)
  </li>
  <li>
   Model risk management (MRM) standards
  </li>
  <li>
   Azure Solutions Architect or MLOps certifications
  </li>
  <li>
   Experience with financial services-grade SLAs (99.9% uptime) and outage management
  </li>
  <li>
   Knowledge of containerization (Docker, Kubernetes, AKS, or similar orchestration tools)
  </li>
  <li>
   Practical experience with Azure Data Factory (ADF) and Azure Data Lake Storage (ADLS) / Azure Blob Storage
  </li>
  <li>
   Knowledge of new and upcoming AI tools
  </li>
  <li>
   This is contained within the earlier requirement of python. If the plan is for this resource
  </li>
  <li>
   Excellent written and verbal communication skills English
  </li>
  <li>
   Strong interpersonal skills with the ability to engage and build relationships
  </li>
  <li>
   Crisis management under pressure
  </li>
  <li>
   Cross-functional collaboration with data science/risk teams
  </li>
  <li>
   Strong organizational skills with the ability to manage multiple tasks and projects simultaneously.
  </li>
  <li>
   Ability to develop and document procedures, roles, and guidelines.
  </li>
  <li>
   <strong>
    Security and Compliance
   </strong>
   Especially in financial services, mention data security, PII handling, and compliance with regulations
  </li>
 </ol>
</div>


Machine Learning Engineer (Contract - For Immediate Hire)

<div><div><b><i>About Emirates Global Aluminium</i></b><i>
</i></div><div>Emirates Global Aluminium is the world&rsquo;s biggest &lsquo;premium aluminium&rsquo; producer and the largest industrial company in the United Arab Emirates outside the oil and gas industry. EGA is an integrated aluminium producer, with operations on four continents from bauxite mining to the production of cast primary aluminium and recycling. EGA employs over 7,000 of these people including more than 1,200 UAE Nationals. EGA operates aluminium smelters in Jebel Ali and Al Taweelah in the United Arab Emirates, an alumina refinery in Al Taweelah, a bauxite mine and associated export facilities in the Republic of Guinea, a speciality foundry in high strength recycled aluminium in Germany, and a recycling plant in the United States.</div>
<div><b>
JOB PURPOSE:</b><br>
The Lead Data Ops Engineer will play a critical role in building, scaling, automating, and maintaining the company's Big Data infrastructure and Machine Learning operations (MLOps). This individual will work in close collaboration with our Data Architect, Data Science, Data Engineering, and IT teams to ensure the development, deployment and scale of robust, high-performance data processing systems and ML models.</div><br>
<div></div>
<div><b>KEY ACCOUNTABILITIES:</b></div>
<ul><li><div><b>Big Data Infrastructure:</b> Design, build, and maintain high-performance, cloud-based, fault-tolerant, scalable distributed Data infrastructure that supports the company&rsquo;s data-intensive applications. (Real time/Batch/LLM&rsquo;s). This includes developing strategies for data storage (TB&rsquo;s), processing, and analysis, and implementing high-performance, scalable data pipelines for ML models and data products, supporting up to 50-60 use cases a year and thousands of IoT devices.</div>
</li><li><div>Create infrastructure as Code, perform configuration and set up managed data services. Build and deploy a data science playground for research and prototyping for the professional and citizen data science program being rolled out and supporting 15-20 citizen data scientists/ambassadors.</div>
</li><li><div><b>Machine Learning Operations (MLOps):</b> Develop and manage the ML operational process, working closely with the data science team to implement ML models into production, including edge. This includes streamlining the ML lifecycle, from model development and testing to deployment and implementing the monitoring and alerting strategy.</div>
</li><li><div><b>Automation and Scalability:</b> Implement automation tools and frameworks to manage system updates/changes. Ensure that all systems and infrastructures can scale effectively with the increase in IoT sensors and devices.</div>
</li><li><div><b>Continuous Integration and Deployment (CI/CD):</b> Oversee continuous integration and continuous deployment practices for the data and ML pipeline, ensuring that software can be reliably released at any time.</div>
</li><li><div><b>System Monitoring and Reliability:</b> Monitor system performance and reliability to ensure high levels of performance, availability, and security. This includes identifying and fixing potential and existing system issues. Collaboration and Communication: Strong collaboration with Data Architect/Engineer, data scientists for the implementation and testing of new data services to provide an elastic data infrastructure.</div>
</li><li><div><b>Security:</b> Oversee and ensure that all Big Data and ML Ops platforms comply with the company's security standards and policies.</div>
</li><li><div><b>Mentorship and Leadership:</b> Act as a mentor to junior data members, providing guidance and support in their professional development. Promote a culture of performance, collaboration, and continuous learning within the data team.</div>
</li><li><div><b>Innovation and Continuous Improvement:</b> Stay up-to-date with industry trends and new technologies. Continuously explore innovative solutions and enhancements to the existing data architecture to improve its scalability, reliability, and efficiency.</div>
</li><li><div><b>Problem Solving:</b> Anticipate and resolve technical issues before they become roadblocks, maintaining the continuity of data flow and ensuring the highest levels of data quality and integrity.</div><br>
</li></ul><div></div><div><b>AUTHORITY/DECISION MAKING:</b></div>
<ul><li><div><b>Infrastructure Design:</b> Decide on the most effective design and implementation of the company's Big Data infrastructure.</div>
</li><li><div><b>ML Ops Process:</b> Make key decisions on the ML operational process, ensuring that ML models can be effectively integrated into production.</div>
</li><li><div><b>Automation Tools:</b> Choose the most appropriate automation tools and frameworks for the company's needs.</div>
</li><li><div><b>CI/CD Practices:</b> Determine the best practices for continuous integration and deployment in the context of the company's operations.</div>
</li><li><div><b>System Monitoring:</b> Make decisions on system monitoring strategies, including the selection of tools and responses to system performance metrics.</div>
</li><li><div><b>Security Policies:</b> Have a say in the implementation of security policies as they pertain to the Big Data and ML Ops platforms.</div>
</li><li><div><b>Budget and Costing:</b> Taking ownership of managing data platform costs and relevant data services.</div><br>
</li></ul><div></div><div><b>QUALIFICATIONS &amp; SKILLS:</b></div>
<div><b>Domain Expertise:</b></div>
<ul><li><div>Bachelor&rsquo;s degree required, MS or PhD preferred.</div>
</li><li><div>Bachelor&rsquo;s in Data Science, Computer Science, Engineering, Statistics and 10+ years of relevant experience.</div>
</li><li><div>Experience: A minimum of 5-7 years of experience in a DevOps role, with a focus on managing Big Data infrastructures and MLOps.</div>
</li></ul><div><b>Technical Skills:</b></div>
<ul><li><div>Strong experience with Big Data technologies such as Hadoop, Spark, Kafka, etc.</div>
</li><li><div>Proven expertise in managing and deploying ML models into production.</div>
</li><li><div>Proficient in using CI/CD tools like Jenkins, Travis CI, CircleCI, etc.</div>
</li><li><div>Proficient in using infrastructure automation tools like Terraform, Chef, Puppet, Ansible, etc.</div>
</li><li><div>Strong knowledge of cloud platforms such as Azure (AWS, GCP).</div>
</li><li><div>Experience with containerization technologies like Docker, Kubernetes, etc.</div>
</li><li><div>Familiarity with various database technologies, both SQL and NoSQL.</div>
</li><li><div>Proficiency in programming languages such as Python, Java, or Scala.</div>
</li><li><div>Experience of leveraging MS/Azure ecosystem to manage the development and maintenance of cloud platform operations.</div>
</li><li><div>A broad set of technical skills and knowledge across hardware, software, systems and solutions development.</div>
</li><li><div>A proven track record of using quantitative analysis to impact key business or product decisions.</div>
</li><li><div>Solid grasp of and experience with implementing and operating software development methodologies.</div>
</li><li><div>A solid grasp of common statistical applications and methods (A/B tests and multivariate experiments, probabilities, regression).</div>
</li><li><div>Understanding of Agile Software Development Lifecycle and project planning/execution skills.</div>
</li><li><div>Outstanding communication skills with stakeholders at all levels, managing stakeholders&rsquo; expectations and facilitating discussions across high-risk or complexity under constrained timescales.</div>
</li><li><div>Outstanding capability to establish enterprise-scale data integration procedures across the data development life cycle and ensure that teams adhere to these. Able to manage resources to ensure that data services work effectively at an enterprise level.</div>
</li><li><div>Up to date with data innovation and expert in investigating emerging trends in data-related approaches, performing horizon-scanning for the organization and introducing innovative ways of working.</div>
</li><li><div>Expert in Data integration design and can establish standards and well informed on best practices across different industries. The candidate can distinguish how to keep those standards up to date and ensures adherence to them.</div>
</li><li><div>Good understanding of concepts and principles of data modeling and can produce, maintain and update relevant data models for specific business needs. Also, shows good knowledge on how to reverse-engineer data models from a live system.</div>
</li><li><div>Expert in Metadata management and understands how metadata repositories can support different areas of the business. Capable of promoting and communicating the value of metadata repositories and knows how to set up robust governance processes to keep repositories up to date.</div>
</li><li><div>Expert in identifying and anticipating problems and knowing how to prevent them by linking how problems fit into the larger picture. Has the ability to identify and describe problems, help others to describe them, and build problem-solving capabilities in others.</div>
</li><li><div>Expert in setting up team-based data engineering standards for programming tools and techniques and can select appropriate development methods. Acts as an advisor on the application of standards and methods and ensures compliance while taking technical responsibility for all stages and/or iterations in a software development project, providing method-specific technical advice and guidance to project stakeholders.</div>
</li><li><div>Technical Expert in predicting and advising on data engineering future technology changes that present opportunities for a product or program.</div>
</li><li><div>Experienced with reviewing requirements, specifications and defining test conditions with good understanding on how to identify issues and risks associated with work while being able to analyze and report test activities and results.</div>
</li></ul><div><b>Agile/Digital Experience:</b></div>
<ul><li><div>Experience in Agile Development, with specific Data Engineer/Data Architect (or similar) experience preferred.</div>
</li><li><div>Understands relationships with Product Owner, Agile Coach, Data Scientist, Designer, and the rest of the technical team.</div>
</li></ul><div><b>Individual Skills:</b></div>
<ul><li><div>Exceptional problem-solving skills: demonstrated ability to understand business challenges, structure complex problems, develop solutions.</div>
</li><li><div>Ability to partner and influence key business stakeholders at all levels of the organization.</div>
</li><li><div>Strong skills in team leadership and networking, ability to work across multiple organizations to accomplish diverse goals.</div>
</li><li><div>Exceptional presentation, written, and verbal communication skills.</div>
</li><li><div>Strong communication skills with the ability to align the organization on complex technical decisions.</div>
</li><li><div>Active coach and mentor whose goal is to grow and maximize the team&rsquo;s potential.</div>
</li><li><div>Strong ability and enthusiasm around data strategy and ability to inspire team and organization around the usage of data.</div>
</li></ul><div><b>Mindset &amp; Behaviors:</b></div>
<ul><li><div>High energy and passionate individual who inspires teammates to reach their maximum potential.</div>
</li><li><div>Empathetic coach who can help develop a new group of highly motivated data engineers.</div>
</li><li><div>Excited about trying new solutions outside standard approval.</div>
</li><li><div>Invested in developing a culture of trust, free thought, and complete transparency.</div></li></ul></div>

Lead Data Ops Engineer

AEG Power Solutions

<div><b>The position</b>
<p>
In this role, you will play a key part in shaping and deploying intelligent solutions that optimize our energy management systems, streamline commercial processes, and contribute to our long-term AI strategy. If you are passionate about cutting-edge technologies, thrive in collaborative environments, and want to make a tangible impact on the future of sustainable power solutions, this could be your opportunity.</p><br>
<p></p>
<b>Main responsibilities</b>
<ul><li>Develop, train, and deploy AI models to optimize our energy management systems.</li>
<li>Collaborate with R&amp;D, Software, and Data teams to design innovative solutions.</li>
<li>Build and maintain robust, scalable MLOps pipelines.</li>
<li>Develop and automate our CPQ (Configure, Price, Quote) tools, technical documentation, and service offers to streamline and accelerate commercial processes.</li>
<li>Contribute to AI research, technology scouting, and AEG Power Solutions&rsquo; AI strategy.</li>
</ul><b>Qualifications and Requirements</b>
<ul><li>Engineering degree (or equivalent) in AI, Data Science, or Computer Science.</li>
<li>Proficiency with leading AI frameworks (TensorFlow, PyTorch, scikit-learn).</li>
<li>Experience in Python development and deploying models into production environments.</li>
<li>Strong collaboration skills, a passion for innovation, and a drive to tackle technical challenges.</li></ul></div>

AI ENGINEER

<div>
 In Financial Accounting &amp; Advisory Services (FAAS) within Assurance, we assist our clients to address the accounting and financial reporting challenges facing their business. You will be part of a team that provides insight and services that accelerate analytics, decision-making and innovation to build a stronger and more efficient finance function. You will experience ongoing professional development through diverse experiences, world-class learning and individually tailored coaching.
 <br/>
 <br/>
 That is how we develop outstanding leaders who team to deliver on our promises to all of our stakeholders, and in so doing, play a critical role in building a better working world for our people, for our clients and for our communities.
 <br/>
 <br/>
 Sound interesting? Well this is just the beginning. Because whenever you join, however long you stay, the exceptional EY experience lasts a lifetime.
 <br/>
 <br/>
 <strong>
  The opportunity
  <br/>
  <br/>
 </strong>
 This opportunity is within our Data &amp; AI team and provides advisory services focused on AI Engineering and Generative AI (GenAI).
 <br/>
 <br/>
 As an AI Engineering professional, you will help businesses unlock value by designing, building, and operationalizing scalable AI solutions using modern MLOps pipelines and cloud-native technologies. You will work on integrating large language models (LLMs), automating workflows with GenAI, and embedding AI capabilities into business processes. The consultant will collaborate with data scientists, engineers, and business leaders to ensure the AI-driven solutions are aligned with strategic goals and deliver tangible business impact.
 <br/>
 <br/>
 This role will be based in Riyadh and center of excellence in Jordan and Egypt and will remotely support MENA client engagements. Based on business need, travel will be a requirement.
 <br/>
 <br/>
 In this fast-moving space, you will be a key driver in identifying opportunities, shaping offerings, and supporting business development efforts.
 <br/>
 <br/>
 <strong>
  Your Key Responsibilities
  <br/>
  <br/>
 </strong>
 In this exciting new role, you will manage up to two projects alongside senior business leaders such as Directors and Partners, and enable clients to define an AI-driven FAAS strategy that appropriately addresses risk and maximizes value from emerging technologies. You will help clients realize business value through AI use-cases&mdash;including
 <strong>
  LLMs,GenAI applications, and MLOps implementation
 </strong>
 .
 <br/>
 <br/>
 The role will also involve ensuring timely delivery in compliance with regulatory requirements, effective execution of the FAAS service delivery framework, working with other service lines for integrated service delivery, and monitoring engagement team performance against the budget. You will stay on top of emerging AI trends, evaluate innovative AI/GenAI tools, and support go-to-market efforts.
 <br/>
 <br/>
 <strong>
  Skills And Attributes For Success
  <br/>
  <br/>
 </strong>
 Proactivity, accountability, and results-driven mindset will be crucial in this environment. You&rsquo;ll need to manage competing priorities, communicate effectively with both technical and non-technical stakeholders, and drive high-quality, innovative deliverables.
 <br/>
 <br/>
 <strong>
  To qualify for the role, you must have
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   A bachelor's degree and approximately 3 to 4 years of related work experience
  </li>
  <li>
   Demonstrated work experience of at least 2 years in a global consulting firm
  </li>
  <li>
   Practical experience in AI and ML development with Python, TensorFlow, PyTorch, and cloud platforms (Azure, AWS, GCP)
  </li>
  <li>
   Hands-on experience building and fine-tuning LLMs, working with frameworks like LangChain, HuggingFace, or OpenAI APIs
  </li>
  <li>
   Experience designing MLOps pipelines, AI solution architecture, and deploying AI models in production
  </li>
  <li>
   Exposure to GenAI use cases such as document summarization, chatbots, intelligent assistants, and code generation
  </li>
  <li>
   Domain knowledge in one or more of the following: Government, Healthcare, Financial Services, Retail, Telecom
  </li>
  <li>
   Strong ability to translate complex business problems into AI solutions with measurable impact
  </li>
  <li>
   Knowledge of data privacy, ethical AI, and responsible AI principles
  </li>
  <li>
   Flexibility and willingness to travel on short notice, as necessary
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Ideally, you&rsquo;ll also have
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Track record with a leading consulting firm
  </li>
  <li>
   Experience with GenAI tooling ecosystems such as Azure OpenAI, Google Vertex AI, or AWS Bedrock
  </li>
  <li>
   Proficiency in the Arabic language
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What We Look For
  <br/>
  <br/>
 </strong>
 We are seeking ambitious leaders, who are passionate about applying AI and GenAI to solve complex client problems. You should have an entrepreneurial mindset, be accountable for results, and eager to mentor the next generation of talent within EY.
 <br/>
 <br/>
 <strong>
  What We Offer
  <br/>
  <br/>
 </strong>
 We offer a competitive compensation package where you&rsquo;ll be rewarded based on performance and recognized for the value you bring to our business. Plus, we offer:
 <br/>
 <br/>
 <ul>
  <li>
   Continuous learning: You&rsquo;ll develop the mindset and skills to navigate whatever comes next.
  </li>
  <li>
   Success as defined by you: We&rsquo;ll provide the tools and flexibility, so you can make a meaningful impact, your way.
  </li>
  <li>
   Transformative leadership: We&rsquo;ll give you the insights, coaching and confidence to be the leader the world needs.
  </li>
  <li>
   Diverse and inclusive culture: You&rsquo;ll be embraced for who you are and empowered to use your voice to help others find theirs.
   <br/>
   <br/>
  </li>
 </ul>
 If you can demonstrate that you meet the criteria above, please contact us as soon as possible.
 <br/>
 <br/>
 <strong>
  The Exceptional EY Experience. It&rsquo;s Yours To Build.
  <br/>
  <br/>
 </strong>
 <strong>
  EY | Building a better working world
  <br/>
  <br/>
 </strong>
 EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.
 <br/>
 <br/>
 Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate.
 <br/>
 <br/>
 Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.
</div>


Consultant, AI Software Engineer, FAAS, Dubai

<div>
 <p>
  <strong>
   The company
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  AEG Power Solutions is a worldwide leader in power supply and power conversion technologies for industrial and renewables applications. We design and provide our solutions to blue chip customers on large projects for power generation, infrastructures, nuclear, renewable energy and oil &amp; gas processes. Our 700 employees operate in 14 countries with a strong European and Asian footprint.
 </p>
 <p>
  <br/>
 </p>
 <p>
  Our company is considering fantastic opportunities to grow both organically and through acquisitions in our traditional sectors but also in adjacent technologies. We are specifically targeting the energy storage and green hydrogen applications with our truly unique capabilities.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   The position
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  In this role, you will play a key part in shaping and deploying intelligent solutions that optimize our energy management systems, streamline commercial processes, and contribute to our long-term AI strategy. If you are passionate about cutting-edge technologies, thrive in collaborative environments, and want to make a tangible impact on the future of sustainable power solutions, this could be your opportunity.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Main responsibilities
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   Develop, train, and deploy AI models to optimize our energy management systems.
  </li>
  <li>
   Collaborate with R&amp;D, Software, and Data teams to design innovative solutions.
  </li>
  <li>
   Build and maintain robust, scalable MLOps pipelines.
  </li>
  <li>
   Develop and automate our CPQ (Configure, Price, Quote) tools, technical documentation, and service offers to streamline and accelerate commercial processes.
  </li>
  <li>
   Contribute to AI research, technology scouting, and AEG Power Solutions&rsquo; AI strategy.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Qualifications and Requirements
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   Engineering degree (or equivalent) in AI, Data Science, or Computer Science.
  </li>
  <li>
   Proficiency with leading AI frameworks (TensorFlow, PyTorch, scikit-learn).
  </li>
  <li>
   Experience in Python development and deploying models into production environments.
  </li>
  <li>
   Strong collaboration skills, a passion for innovation, and a drive to tackle technical challenges.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   What We Offer
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  A career in AEG Power Solutions is not just a job. We are a technology-driven organization that offers great opportunity to develop and make a positive impact on the world. Discover more here: https://www.aegps.com/en/company/careers/.
 </p>
</div>


AI Engineer

Make Fortune Business Solutions

<p><b>About Us</b></p><p>Real Law AI is a legal tech startup in the UAE. Founded in 2024, we already have 500+ paying users.</p><p><b>What You&rsquo;ll Do (Key Responsibilities)</b></p><ul><li>Build the core AI chatbot with RAG.</li><li>Optimize RAG pipelines.</li><li>Develop semantic search (Elasticsearch).</li><li>Work with LLMs.</li><li>Engineer data pipelines.</li><li>Ensure integrations and collaboration across systems.</li></ul><p><b>Who You Are (Required Skills)</b></p><ul><li>Proven experience as an AI/ML Engineer with a strong project portfolio in NLP and/or Conversational AI.</li><li>Solid hands-on expertise with Python and ML frameworks (e.g., PyTorch, Hugging Face, LangChain).</li><li>Strong track record in building and deploying RAG systems and working with vector databases (e.g., Pinecone, Milvus, Weaviate).</li><li>Strong understanding of search technologies, especially Elasticsearch.</li><li>Strong foundation in NLP concepts, including transformers, embeddings, and NER.</li><li>Experience with cloud infrastructure and services (e.g., AWS S3).</li><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Artificial Intelligence, or a related field.</li></ul><p><b>Nice to Have (Preferred Skills)</b></p><ul><li>Experience with different open-source and proprietary LLMs.</li><li>Experience with Arabic NLP.</li><li>Familiarity with MLOps principles and tools for deploying and monitoring models.</li><li>Passion for building intuitive user interfaces.</li></ul><p>If you are a creator passionate about developing intelligent conversational AI to solve real, meaningful problems, we want to hear from you. Apply now and help us build the future of law.</p><p><b>What We Offer</b></p><ul><li>Competitive salary (negotiable).</li><li>Friendly, non-toxic team culture.</li><li>Flexible format: hybrid or remote work.</li></ul><p>Job Types: Full-time, Temporary, Contract</p><p>Application Question(s):</p><ul><li>How many years of work experience do you have with Python?</li></ul><ul><li>How many years of proven experience as an AI/ML Engineer in NLP do you have?</li></ul>

Virtue Therapy and Research

<p><b>We are a team of 16+ people with In-depth expertise in AI, product design, psychology, business, and software development. With HQ in Dubai but growing as a multi-location team, we embrace all cultures and enjoy learning from each other; we currently have team members from Spain, Jordan, Egypt, India, Serbia, Iran, Armenia, and Argentina. We hope to keep adding more cultures!</b></p><p><b>We deeply care about an honest, inclusive, high-performance work environment. We celebrate genuine relationships and innovative mindsets.</b></p><p>We are looking for an <b>ML Software Engineer</b> to join us on the ground floor! You will work directly alongside the engineering team.</p><p>The ML Engineer at VirtuE will be an integral part of the EDAA team, working on our cutting-edge multimodal and multi model generative deep learning product. The company works on Emotional AI and integrating psychology with AI to translate human emotions into code. This role focuses on developing, training, fine-tuning, and deploying AI models for high scale, while following MLOps and software engineering protocols. You will collaborate with cross-functional teams to implement AI features that align with the product&rsquo;s vision and technology strategy. This role is ideal for someone with a strong foundation in machine learning, deep learning frameworks, and experience in high-load (e.g. 1K requests per second) software applications.</p><p><b>You will be working in:</b></p><ul><li>In the first three months of collaboration, you should be able to manage all EDAA models (Emotional data analysis and automation). You will develop, implement, and optimize ML models (to have fast response on high load) to enhance the product functionalities based on the product roadmap.</li><li>You will train, fine-tune, and deploy machine learning and deep learning models (including LLMs).</li><li>Integrate models into existing applications, storage tasks, and basic code development tasks based on DevOps protocols.</li><li>and, maintain ML operations using SageMaker or something similar.</li></ul><p><b>What should you bring?</b></p><p><b>Must</b>:</p><ul><li>Min 4 years of work experience in developing Python applications with high load</li><li>Hands-on experience with Deep learning frameworks (e.g. TensorFlow, PyTorch, Numpy, Pandas, Sklearn)</li><li>Experience in training/fine-tuning deep learning models like LLMs and RAG is required.</li><li>Knowledge of basic LINUX commands, SQL and NoSQL Database, and Cloud storage (S3 or Dynamo, etc.)</li></ul><p><b>Nice to have</b></p><ul><li>Experience in model optimization (e.g. MLOps platforms like AWS SageMaker or GCP)</li><li>Basic knowledge of deployment using Dockers.</li><li>Basic Knowledge of REST APIs (and/or fast API), and Git.</li></ul><p><b>What do all team members have in common?</b></p><ul><li>Intellectual curiosity. We encourage people to proactively address potential problems.</li><li>We navigate ambiguity and demonstrate accountability and autonomy.</li><li>Open-minded, we embrace all cultures and backgrounds. Eager to learn, grow, give, and receive feedback!</li><li>We embrace the principles of decentralization, valuing the power of distributed decision-making.</li><li>Entrepreneurial spirit, excited about shaping a future where technology serves as a force for positive change</li></ul><p><b>What do we offer?</b></p><ul><li>100% Remote (UAE or anywhere in CET+-4)</li><li>Salary based on mid-market standards</li><li>Growing opportunities within our overall company growth (Based on Individual development plans + OKRs)</li><li>We do 4 strategy workshops per year where we all meet either in person at the <b>DIFC</b> (or online) and 1 annual team gathering to spend a few days together</li><li>International Health Insurance (for the employee only)</li><li>Visa Sponsorship (for the employee only)</li></ul><p>**Location:** United Arab Emirates (UAE) or anywhere in CET+-4.</p><p><b>Note:</b> If you are based in the UAE, we provide an Employment Contract through the DIFC; if you are outside the UAE, we offer a Contractor Agreement.</p><p>Job Type: Full-time</p><p>Pay: AED15,000.00 - AED18,000.00 per month</p><p>Education:</p><ul><li>Bachelor's (Preferred)</li></ul><p>Experience:</p><ul><li>Machine learning : 3 years (Required)</li></ul>

Deep learning Engineer

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