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Advanced Artificial Mind

AI Solutions Engineer / Data Scientist / Machine Learning EngineerLocation: Qatar Department: ITResponsibilities:<ul><li>Develop and deploy custom AI models &mdash; particularly in Arabic NLP, document classification, and chatbots.</li><li>Work on data preprocessing, training, and fine-tuning large language models.</li><li>Build APIs or applications integrating AI capabilities into client systems.</li><li>Collaborate with cross-functional teams to define problem statements and evaluate solutions.</li></ul>Requirements:<ul><li>Experience with Python, TensorFlow / PyTorch, Hugging Face, or similar frameworks.</li><li>Familiarity with n8n workflows.</li><li>Knowledge of Arabic language processing and text analytics.</li><li>Strong problem-solving and research skills.</li><li>Familiarity with deploying AI models in cloud environments (Azure, AWS, GCP).</li></ul>Job Type: Full-time

AI Solutions Engineer / Data Scientist / Machine Learning Engineer

COZMALABS

We are looking for an experienced&#8239; Data Engineer&#8239;to join our team full-time. This role requires a strong background in building and optimizing data pipelines, with a focus on supporting AI-driven solutions. The candidate will work closely with software engineers to ensure reliable data flows for AI models and contribute to cloud-based data integration using Microsoft Azure.Key Responsibilities:<ul><li>Design, develop, and maintain scalable data pipelines and ETL processes to support AI-driven projects</li><li>Build and optimize data infrastructure to ensure efficient data management, processing, and storage in cloud environments (Azure)</li><li>Collaborate with AI engineers to facilitate data preparation for machine learning models and AI solutions</li><li>Ensure data pipelines are secure, reliable, and meet performance standards</li><li>Monitor and troubleshoot data pipeline performance to ensure timely and accurate data delivery</li><li>Implement data governance policies and ensure compliance with data security standards</li></ul>Required Qualifications:<ul><li>Proven experience as a Data Engineer, with a focus on building and maintaining complex data pipelines for AI projects</li><li>Proficiency in SQL and experience with relational databases (e.g., PostgreSQL, SQL Server) and NoSQL databases (e.g., MongoDB)</li><li>Expertise in cloud-based data solutions, specifically Microsoft Azure (e.g., Azure Data Factory, Azure Synapse, Azure Databricks)</li><li>Experience with data integration tools and ETL frameworks (e.g., Apache Airflow)</li><li>Proficiency in at least one programming language for data manipulation (e.g., Python)</li><li>Knowledge of data warehousing solutions and best practices</li><li>Experience in working with data pipelines for AI or machine learning workflows</li><li>Strong problem-solving and analytical skills</li><li>Bachelor&rsquo;s degree in Computer Science, Engineering, or a related field</li><li>Proficiency in English (written and spoken)</li></ul>Desirable Qualifications:<ul><li>Familiarity with machine learning models and data preprocessing for AI solutions</li><li>Knowledge of containerization tools (Docker, Kubernetes) for data pipeline deployments</li></ul>Job Type: Full-time

Data Engineer

Quantiphi

<div>
 
 
 Designation:
 
 Senior Data Scientist
 
 
 
 Experience level:
 
 8 to 15 years
 
 
 
 
 
 
 Skills - Required:
 
 
 <ul>
 <li>
 Knowledge of statistical modelling and popular machine learning models.
 </li>
 <li>
 Good analytical skills, with expertise in analytical tool-kits such as Logistic Regression, Cluster Analysis, Factor Analysis, Multivariate Regression, Statistical modelling, predictive analysis.
 </li>
 <li>
 Hands-on with Python/R programming and knowledge of machine learning tools like Scikit-Learn, Pandas, TensorFlow, Pytorch, Keras, OpenCV, XGBoost etc.
 </li>
 <li>
 Computer Vision: Image pre-processing, image matching/comparison using SIFT/SURF/ORB, Object detection (Faster RCNN, YOLO, SSD, etc.), Image similarity (Siamese network), Image classification.
 </li>
 <li>
 NLP: Vector Space modelling in NLP, LSTMS, Sequence modelling, Attention modelling, BERT, Transformers. Using the abovementioned techniques performing Document classification, Semantic similarity, NER, Sentiment Analysis.
 </li>
 <li>
 Time Series Analysis using ARIMA, SARIMA, LSTMs, etc.
 </li>
 <li>
 Feature engineering, Feature selection/Feature importance, Dimensionality.
 </li>
 <li>
 Reduction (PCA, etc.), Hyperparameter tuning, Ensembling techniques like Bagging, Boosting, Stacking.
 </li>
 <li>
 Should possess knowledge of multiple cloud platforms (GCP-Preferable, Azure or AWS) and machine learning services offered by them.
 </li>
 <li>
 Critical eye for the quality of data and strong desire to get it right.
 </li>
 <li>
 A pleasantly forceful personality and charismatic communication style.
 </li>
 </ul>
 
 
 
 
 
 Skills - Nice to Have:
 
 
 <ul>
 <li>
 Experience in building end to end machine learning pipelines, deployment using any ML Ops Framework (Kube Flow Pipelines, Vertex AI), model performance monitoring, CI/CD.
 </li>
 <li>
 Experience in GCP based ML solutions and services like Contact Centre AI, Vertex AI, Document AI, Speech-to-Text, Text-to Speech, Natural Language, Dialog Flow, AutoML, Vision, Video Intelligence, Base OCR, Form Parser, Invoice Parser, etc.
 </li>
 </ul>
 
 
 
 
 
 Your Job will require:
 
 
 <ul>
 <li>
 Ability to multitask and work on multiple engagements related to different domains.
 </li>
 <li>
 Be able to pick up newer technologies in a short span of time
 </li>
 <li>
 Work in a highly collaborative environment by interacting with the stakeholders and various IT teams within the company to facilitate design and development of ML/AI solutions.
 </li>
 <li>
 Be responsible for the successful delivery of all allocated projects with respect to schedule, quality and customer satisfaction.
 </li>
 <li>
 Follow Agile standards and methodologies in all phases of the project.
 </li>
 <li>
 Ensure excellence in delivery to customers
 </li>
 <li>
 Self-driven individuals with a passion for research and development and the zest for solving what matters.
 </li>
 </ul>
 
 
 
 
 
 What&rsquo;s in it for you?
 
 
 <ul>
 <li>
 The experience of working in a category defining high growth start-ups in the transformational AI, Decision Science and Big Data Domain.
 </li>
 <li>
 The opportunity of getting on boarded to the phenomenal growth journey and helping the customers take the next big leap in digital transformation
 </li>
 <li>
 The opportunity to work with a diverse, lively and proactive group of techies who are constantly raising the bar on the art of translating mounds of data into tangible business value for clients.
 </li>
 <li>
 An ergonomic and beautiful working space in the heart of Mumbai open for you 24 hours
 </li>
 </ul>
</div>

Senior Data Scientist

Oscar

<div>
 
 
 Role: AI Security Engineer
 
 
 
 
 Location: Doha, Qatar
 
 
 
 
 Salary: Negotiable (Tax Free) + Relocation Allowance
 
 
 
 
 
 
 
 Summary:
 
 
 
 
 
 
 Oscar Technology has partnered with a leading consultancy firm to recruit a specialist for an exciting two-year project based in Qatar. The successful candidate will play a key role in ensuring the security posture of the firm. A relocation package is available and can be negotiated.
 
 
 
 
 
 We need a technically focused AI Security Engineer with 5 years' hands‑on experience securing machine learning systems, LLM deployments, and data pipelines in enterprise environments. Deep expertise in adversarial ML, secure MLOps, model integrity, and privacy-preserving techniques. Proven record of designing production-safe inference services, automating adversarial testing, and reducing model exposure and data leakage risk.
 
 
 
 
 
 This is an excellent opportunity for someone looking to advance their career with a major Qatari firm while enjoying tax-free earnings. Salary is dependant on experience and negotiable.
 
 
 
 
 
 
 Technical expertise we are looking for:
 
 
 
 
 
 
 
 AI &amp; Automation:
 
 
 
 
 
 <ul>
 <li>
 Workflow Automation (Make.com, Zapier, n8n, MS Power Automate)
 </li>
 <li>
 AI Agents &amp; Chatbots (OpenAI, LangChain, Rasa, Dialogflow)
 </li>
 <li>
 Business Process Automation (RPA, API-Integration, SaaS Workflows)
 </li>
 <li>
 Generative AI &amp; LLMs (GPT, Prompt Engineering, Agentic Workflows)
 </li>
 </ul>
 
 
 
 
 
 Technologies &amp; Tools:
 
 
 
 
 
 <ul>
 <li>
 OpenAI API, LangChain, n8n, Make.com, Zapier
 </li>
 <li>
 MS Power Platform, Power Automate, SharePoint
 </li>
 <li>
 Docker, SQL, REST APIs, Postman, GitHub
 </li>
 <li>
 Confluence, JIRA, MS Project, Trello, Asana
 </li>
 </ul>
 
 
 
 
 
 Programming &amp; Test Automation:
 
 
 
 
 
 <ul>
 <li>
 Python, Java, C#, C/C++
 </li>
 <li>
 Test Automation (Pytest, Robot Framework, Playwright, Selenium)
 </li>
 <li>
 QA &amp; Test Management (Azure DevOps, CI/CD, Test Strategies)
 </li>
 </ul>
 
 
 
 
 
 Cloud &amp; Infrastructure:
 
 
 
 
 
 <ul>
 <li>
 Microsoft Azure (AI, Automation, Data Services)
 </li>
 <li>
 Amazon Web Services (AWS AI, Lambda, EC2)
 </li>
 <li>
 Cloud Integrations &amp; Deployment
 </li>
 <li>
 Consulting &amp; Project Management
 </li>
 <li>
 IT Project Management (Agile, Scrum, Kanban)
 </li>
 <li>
 Process Optimization &amp; Digital Transformation in SMEs
 </li>
 <li>
 Workshops, Trainings &amp; Coaching for AI Automation
 </li>
 <li>
 Stakeholder Management &amp; Change Management
 </li>
 </ul>
 
 
 
 
 
 Soft Skills:
 
 
 
 
 
 <ul>
 <li>
 Intercultural Collaboration
 </li>
 <li>
 Structured &amp; Solution-Oriented Approach to Work
 </li>
 </ul>
 
 
 
 
 
 What you will be responsible for:
 
 
 
 
 
 <ul>
 <li>
 Model Security &amp; Hardening: adversarial training, gradient masking, model watermarking, integrity verification
 </li>
 <li>
 Privacy &amp; Data Protection: differential privacy, secure aggregation, federated learning, synthetic data
 </li>
 <li>
 MLOps &amp; Infrastructure: Kubernetes, Docker, MLflow, CI/CD for ML, Terraform, Vault
 </li>
 <li>
 Secure Deployment: encrypted inference, API gateway hardening, rate limiting, runtime monitors
 </li>
 <li>
 Threat Modeling &amp; Testing: ATT&amp;CK for ML mapping, red-team adversarial scenarios, prompt-injection testing
 </li>
 <li>
 Languages &amp; Frameworks: Python, Bash, Go, PyTorch, TensorFlow, Hugging Face Transformers, ONNX
 </li>
 <li>
 Cloud &amp; DevSecOps: AWS (SageMaker, ECR, IAM), Azure ML, GCP Vertex AI, GitHub Actions
 </li>
 <li>
 Monitoring &amp; Observability: Prometheus, Grafana, ELK Stack, model drift detection
 </li>
 </ul>
 
 
</div>

AI Security Engineer

<div>
 
 
 About the Company
 
 :
 
 
 Quantiphi is an award-winning Data Science and Machine Learning Software and Services Company focused on helping organizations translate the big promise of Machine Learning technologies into quantifiable business impact. We were founded on the belief that machine learning and artificial intelligence are transformative technologies that will create the next quantum gain in customer experience and unit economics of businesses. We are one of the five global launch partners for Google in Machine Learning and one of the three global launch partners for the Google Cloud Contact Center AI solution. Our signature approach combines ground-breaking machine-learning research with disciplined cloud and data-engineering practices to create breakthrough impact at unprecedented speed. We believe in &ldquo;Solving What Matters.
 
 
 
 
 
 
 Role
 
 : Senior Data Engineer
 
 
 
 Experience Level
 
 : 8 to 15 Years
 
 
 
 Work location
 
 : Doha, Qatar
 
 
 
 
 
 
 Responsibilities
 
 :
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Computer Science or similar field or equivalent work experience.
 </li>
 <li>
 6+ years of experience on Data Warehousing, Data Engineering or Data Integration projects.
 </li>
 <li>
 Expert with data warehousing concepts, strategies, and tools.
 </li>
 <li>
 Strong SQL background.
 </li>
 <li>
 Strong knowledge of relational databases like SQL Server, PostgreSQL, MySQL.
 </li>
 <li>
 Strong experience in GCP &amp; Google BigQuery, Cloud SQL, Composer (Airflow), Dataflow, Dataproc, Cloud Function and GCS.
 </li>
 <li>
 Good to have knowledge on SQL Server Reporting Services (SSRS), and SQL Server Integration Services (SSIS).
 </li>
 <li>
 Knowledge of AWS and Azure Cloud is a plus.
 </li>
 <li>
 Experience in Informatica Power exchange for Mainframe, Salesforce, and other new-age data sources.
 </li>
 <li>
 Experience in integration using APIs, XML, JSONs etc.
 </li>
 <li>
 In-depth understanding of database management systems, online analytical processing (OLAP) and ETL (Extract, transform, load) framework, data-warehousing and Data Lakes
 </li>
 <li>
 Good understanding of SDLC, Agile and Scrum processes.
 </li>
 <li>
 Strong problem-solving, multi-tasking, and organizational skills.
 </li>
 <li>
 Highly proficient in working with large volumes of business data and strong understanding of database design and implementation.
 </li>
 <li>
 Good written and verbal communication skills.
 </li>
 <li>
 Demonstrated experience of leading a team spread across multiple locations.
 </li>
 </ul>
 
 
 
 
 
 Role &amp; Responsibilities:
 
 
 <ul>
 <li>
 Work with business users and other stakeholders to understand business processes.
 </li>
 <li>
 Ability to design and implement Dimensional and Fact tables
 </li>
 <li>
 Identify and implement data transformation/cleansing requirements
 </li>
 <li>
 Develop a highly scalable, reliable, and high-performance data processing pipeline to extract, transform and load data from various systems to the Enterprise Data Warehouse
 </li>
 <li>
 Develop conceptual, logical, and physical data models with associated metadata including data lineage and technical data definitions
 </li>
 <li>
 Design, develop and maintain ETL workflows and mappings using the appropriate data load technique
 </li>
 <li>
 Provide research, high-level design, and estimates for data transformation and data integration from source applications to end-user BI solutions.
 </li>
 <li>
 Provide production support of ETL processes to ensure timely completion and availability of data in the data warehouse for reporting use.
 </li>
 <li>
 Analyze and resolve problems and provide technical assistance as necessary. Partner with the BI team to evaluate, design, develop BI reports and dashboards according to functional specifications while maintaining data integrity and data quality.
 </li>
 <li>
 Work collaboratively with key stakeholders to translate business information needs into well-defined data requirements to implement the BI solutions.
 </li>
 <li>
 Leverage transactional information, data from ERP, CRM, HRIS applications to model, extract and transform into reporting &amp; analytics.
 </li>
 <li>
 Define and document the use of BI through user experience/use cases, prototypes, test, and deploy BI solutions.
 </li>
 <li>
 Develop and support data governance processes, analyze data to identify and articulate trends, patterns, outliers, quality issues, and continuously validate reports, dashboards and suggest improvements.
 </li>
 <li>
 Train business end-users, IT analysts, and developers
 </li>
 </ul>
</div>

Senior Data Engineer- GCP

Advanced Construction Technology Services

Key Responsibilities:<ul><li>Collect, clean, and preprocess large and complex datasets from multiple sources.</li><li>Perform exploratory data analysis (EDA) to identify patterns, trends, and insights.</li><li>Build and validate predictive and prescriptive models using statistical and machine learning techniques.</li><li>Visualize and communicate insights through dashboards, reports, and presentations.</li><li>Design, train, and deploy machine learning and deep learning models.</li><li>Collaborate with software engineers and data engineers to integrate AI models into products or systems.</li><li>Continuously evaluate and improve model accuracy, performance, and reliability.</li><li>Stay updated with the latest AI, data science, and related technologies developments.</li><li>Experiment with new tools, frameworks, and techniques to improve workflow efficiency.</li></ul>Qualifications and Skills:Education:<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Science, Artificial Intelligence, or a related field.</li></ul>Technical Skills:<ul><li>Proficiency in Python</li><li>Experience with SQL and NoSQL databases.</li><li>Strong knowledge of machine learning algorithms, deep learning architectures, and data preprocessing techniques.</li><li>Experience with data visualization tools (Power BI, Tableau, Plotly, etc.).</li></ul>Soft Skills:<ul><li>Strong analytical and problem-solving abilities.</li><li>Excellent communication and presentation skills.</li><li>Ability to work independently and collaboratively in cross-functional teams.</li><li>Attention to detail and commitment to quality.</li></ul>Preferred Experience:<ul><li>4 years of experience in data science, AI engineering, or applied machine learning roles.</li><li>Experience in a specific domain (Construction) is a plus.</li><li>Ready to start immediately</li></ul>Job Type: Full-time

AI Engineer

<div>
 
 Job Description
 
 
 
 With more than 14000 people around the globe, GHD is one of the world&rsquo;s leading professional services companies operating in the global markets of water, energy and resources, environment, property and buildings, and transportation. Serving clients across five continents and the Pacific region, GHD people share a passion for exceeding the expectations of our clients and contributing to their success.
 
 
 
 Our Middle East operations have an exciting opportunity for a Lead Mechanical Engineer to join our office in Abu Dhabi building services team
 
 
 
 
 About The Role
 
 
 
 We are seeking an experienced and driven Lead Mechanical Engineer to join our Global Data Centre Design Team (Mission Critical), based in our UAE offices. This is a senior leadership position for a technically accomplished engineer with a strong track record in the design and delivery of complex data centre and mission critical projects.
 
 
 You will have the opportunity to lead the mechanical engineering design for some of the most advanced AI and hyperscale data centres in the world. These projects will include both standardized global reference designs and fully bespoke high-performance facilities that set new benchmarks for innovation, resilience, energy efficiency, and sustainability.
 
 
 You will play a central role in shaping mechanical engineering strategies for high-availability infrastructure, collaborating with clients, architects, and multi-disciplinary teams from early concept through to post-handover. Your work will directly influence the future of data centre design, while also mentoring the next generation of engineers in our fast-growing mission critical team.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Lead the mechanical design for mission critical facilities, covering HVAC, chilled water systems, air distribution, heat rejection systems, and integration with electrical and ICT systems.
 </li>
 <li>
 Develop high-quality designs, specifications, and technical reports in line with client requirements, local regulations, and international standards.
 </li>
 <li>
 Deliver thermal load assessments, capacity planning, redundancy and resilience strategies (e.g., N+1, 2N) for critical cooling systems.
 </li>
 <li>
 Integrate energy efficiency, free cooling, and sustainable technologies into design strategies to minimize operational costs and environmental impact.
 </li>
 <li>
 Coordinate closely with electrical, structural, public health, fire protection, and ICT teams to ensure fully integrated, clash-free, and optimized designs.
 </li>
 <li>
 Lead technical reviews, ensure quality control of design deliverables, and manage budgets, deliverables, and programme schedules.
 </li>
 <li>
 Maintain strong client relationships, presenting solutions, managing expectations, and acting as a trusted technical advisor from bid stage through to project completion.
 </li>
 <li>
 Mentor and develop junior engineers, fostering a culture of technical excellence, collaboration, and continuous learning.
 </li>
 <li>
 Contribute to the development, adaptation, and optimization of client standard designs, as well as bespoke engineering solutions.
 
 
 </li>
 </ul>
 
 Skills, Experience &amp; Qualifications
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in mechanical or Building Services Engineering (Master&rsquo;s degree or Chartered Engineer status preferred).
 </li>
 <li>
 Minimum 10 years of relevant experience, with at least 3 years focused on mission critical and/or data centre projects.
 </li>
 <li>
 Proven expertise in cooling system design for high-availability environments, including CRAC/CRAH, chilled water, direct expansion, and adiabatic cooling solutions.
 </li>
 <li>
 Strong understanding of mechanical-electrical integration, controls/BMS strategies, and commissioning processes for data centres.
 </li>
 <li>
 Experience with hyperscale and AI data centre cooling design strategies is highly desirable.
 </li>
 <li>
 Proficiency in design tools such as Revit, AutoCAD, IES, CFD modelling, or equivalent.
 </li>
 <li>
 Demonstrated ability to produce technical designs, calculations, and specifications to a high standard.
 </li>
 <li>
 Strong leadership, stakeholder engagement, and problem-solving skills.
 </li>
 <li>
 Excellent communication skills with the ability to lead discussions, influence outcomes, and work across multiple disciplines and geographies.
 
 
 </li>
 </ul>
 
 Why Join Us?
 
 
 
 <ul>
 <li>
 Work on globally significant mission critical projects, influencing the next generation of AI and hyperscale data centre mechanical design.
 </li>
 <li>
 Be part of a globally recognised, fast-growing mission critical team delivering projects that combine technical excellence, sustainability, and commercial success.
 </li>
 <li>
 Collaborate in a multi-disciplinary, innovative environment where your work shapes both standardised and bespoke engineering solutions.
 </li>
 <li>
 Access continuous professional development, global career pathways, and opportunities to contribute to industry-leading innovation.
 </li>
 <li>
 Join a team that values knowledge sharing, client partnership, and engineering excellence.
 
 
 </li>
 </ul>
 
 Take on some of the world's toughest challenges- with everyone at GHD backing you every step of the way.
 
 
 
 
 At GHD, we celebrate the power of a multicultural workforce and champion individual achievement. As an equal opportunity employer, we are committed to providing fair and inclusive employment opportunities to all qualified candidates and employees&mdash;regardless of background, identity, or experience. We believe that diversity drives innovation, and we welcome the unique perspectives that each team member brings to our organization.
 
</div>

Lead Mechanical Engineer- Mission Critical (Data Centers)

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