321 AI Consultant jobs in the United Arab Emirates

AI Consultant

The AI Consultant is responsible for navigating the complex world of modern data science and analytics. S/he provides a unique business perspective on how data science and analytics can transform and improve the organization along with faced key business issues.

1. Assist in the strategy and implementation of Artificial Intelligence, Data Science, Big Data, and modern Information Management.
2. Help in data-driven decisions by working with structured and unstructured data sets, building out predictive models, and advising clients on data mining leading practices.
3. Build and apply data analysis algorithms (data mining, statistics, machine learning, natural language processing, sentiment analysis, text mining, etc.) as appropriate.
4. Design, architect, develop solutions, and leverage big data to process disparate data sets to exceed business requirements.
5. Lead large-scale client engagements and foster relationships with clients at appropriate levels while delivering quality services and driving high-quality work products within expected timeframes and budget.
6. Monitor progress, manage risk, and ensure key stakeholders are kept informed about progress and expected outcomes.
7. Provide directional guidance and recommendations around data technology, data models, and data storage formats.
8. Manage expectations of client service delivery.
9. Stay abreast of current business and industry trends relevant to the client's business.

Education: Bachelor's degree in Engineering or any other related field.

Experience: At least 6 years of relevant experience.

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AI Consultant

The AI Consultant is responsible for navigating the complex world of modern data science and analytics. S/he provides a unique business perspective on how data science and analytics can transform and improve the organization along with faced key business issues.

• Assist in the strategy and implementation of Artificial Intelligence, Data Science, Big Data, and modern Information Management.
• Help in data-driven decisions by working with structured and unstructured data sets, building out predictive models, and advising clients on data mining leading practices.
• Build and apply data analysis algorithms (data mining, statistics, machine learning, natural language processing, sentiment analysis, text mining, etc.) as appropriate.
• Design, architect, develop solutions, and leverage big data to process disparate data sets to exceed business requirements.
• Lead large-scale client engagements and foster relationships with clients at appropriate levels while delivering quality services and driving high-quality work products within expected timeframes and budget.
• Monitor progress, manage risk, and ensure key stakeholders are kept informed about progress and expected outcomes.
• Provide directional guidance and recommendations around data technology, data models, and data storage formats.
• Manage expectations of client service delivery.
• Stay abreast of current business and industry trends relevant to the client's business.

Education: Bachelor's degree in Engineering or any other related field.

Experience: At least 6 years of relevant experience.

Disclaimer: Naukrigulf.com is only a platform to bring jobseekers & employers together. Applicants are advised to research the bonafides of the prospective employer independently. We do NOT endorse any requests for money payments and strictly advise against sharing personal or bank-related information. We also recommend you visit Security Advice for more information. If you suspect any fraud or malpractice, email us at

We are seeking a AI Pre-Sales Consultant with 5+ years of client-facing experience, specializing in data-driven solutions and digital transformation. The ideal candidate will have expertise in Big Data, IoT, AI/ML, NoSQL, and Data Analytics, and be skilled at architecting tailored solutions for customers. Strong technical knowledge and a passion for learning new technologies are essential to drive business value and deliver innovative solutions.

• Strong Technical knowledge to architect data driven analytical solutions
• Own the Technical Responsibility & drive business value for the customer requirements primarily in the below areas as a Pre-Sales Consultant:
  • Big Data (Cloudera/MapR/Azure/Snowflake)
  • Data Everything: Data Warehousing, Data Management, Data Integration, Data Analytics & BI (Tableau/SAP-SAC)
  • NoSQL (MongoDB, CouchBase, CouchDB, Cassandra, ATLAS etc.)
  • IoT-Data
  • AI/ML (Azure, Dataiku, Alteryx)
  • Provide data driven AI/ML solutions pertaining to Computer Vision/Video Analytics
  • NLP (Conversational AI/Chat Bots)
  • Others: ELK, Middleware
• Prior Experience mandatory with providing solutions in the areas of:
  • Big data & Analytics platform – Azure, Cloudera (eco-system), MapR, ELK stack, snowflake
  • Data Governance and Data Management using tools like Talend, Informatica
  • NoSQL/MPP DB- MongoDB, Couchbase, Vertica etc.
  • Data visualization using tools – PowerBI, Tableau, etc.
  • Data Analytics - AI/ML solutions pertaining to Computer vision/Video Analytics, Conversational AI (Chat Bots) etc.
• Demonstrated capability to learning new technologies and provide customer centric solutions. Must be a self-starter.
• Experience working with Partners and Vendors to build tailor made solutions
• Experience with machine learning, statistical modeling, and data mining techniques
• Experience with one or more machine learning algorithms such as neural networks, regression, clustering etc.
• Working experience with machine learning technologies such as TensorFlow, Keras, ScikitLearn, H20.ai, MXNet, Caffe etc. is highly desirable
• Experience working in an Agile (SCRUM, XP etc.) development environment
• Experience in collaborating with multi-disciplinary teams.
• Experience writing customer RFP’s in AI/ML, Data & Analytics space.
• Experience with LLM landscape, deployment and optimization.
• Capable of writing responses to RFI/RFP (Technical Proposal writing).
• Adaptive to learn new technology landscape and provide be-spoke innovative solutions to the customer.

Languages: English

Apply for this position: To apply for this position, kindly email your resume to: #J-18808-Ljbffr

• Strong Technical knowledge to architect data driven analytical solutions
• Own the Technical Responsibility & drive business value for the customer requirements primarily in the below areas as a Pre-Sales Consultant:
  • Big Data (Cloudera/MapR/Azure/Snowflake)
  • Data Everything: Data Warehousing, Data Management, Data Integration, Data Analytics & BI (Tableau/SAP-SAC)
  • NoSQL (MongoDB, CouchBase, CouchDB, Cassandra, ATLAS etc.)
  • IoT-Data
  • AI/ML (Azure, Dataiku, Alteryx)
  • Provide data driven AI/ML solutions pertaining to Computer Vision/Video Analytics
  • NLP (Conversational AI/Chat Bots)
  • Others: ELK, Middleware
• Prior Experience mandatory with providing solutions in the areas of:
  • Big data & Analytics platform – Azure, Cloudera (eco-system), MapR, ELK stack, snowflake
  • Data Governance and Data Management using tools like Talend, Informatica
  • NoSQL/MPP DB- MongoDB, Couchbase, Vertica etc.
  • Data visualization using tools – PowerBI, Tableau, etc.
  • Data Analytics - AI/ML solutions pertaining to Computer vision/Video Analytics, Conversational AI (Chat Bots) etc.
• Demonstrated capability to learning new technologies and provide customer centric solutions. Must be a self-starter.
• Experience working with Partners and Vendors to build tailor made solutions
• Experience with machine learning, statistical modeling, and data mining techniques
• Experience with one or more machine learning algorithms such as neural networks, regression, clustering etc.
• Working experience with machine learning technologies such as TensorFlow, Keras, ScikitLearn, , MXNet, Caffe etc. is highly desirable
• Experience working in an Agile (SCRUM, XP etc.) development environment
• Experience in collaborating with multi-disciplinary teams.
• Experience writing customer RFP's in AI/ML, Data & Analytics space.
• Experience with LLM landscape, deployment and optimization.
• Capable of writing responses to RFI/RFP (Technical Proposal writing).
• Adaptive to learn new technology landscape and provide be-spoke innovative solutions to the customer.

• Act as the clinical domain expert to guide AI/ML product teams

• Review and annotate clinical datasets (radiology, EHR, pathology, genomics, etc.)

• Collaborate with data scientists on building AI/ML models for healthcare

• Validate AI models using clinical logic, guidelines, and real-world data

• Contribute to the design of clinical decision support systems

• Ensure AI tools align with ICD-10, SNOMED CT, CPT, and evidence-based practices

• Stay updated on healthcare regulations

Qualifications:

• MBBS / BDS / BAMS / BHMS / Pharm.D / M.Pharm / MSc (Life Sciences / Biotech)

• Certification or working knowledge in:

  • Artificial Intelligence / Data Science / Healthcare Informatics

  • Basic Python, R, or SQL (preferred, not mandatory)

  • Medical coding standards (ICD-10, CPT, SNOMED)

Interested to apply, can share CV on whatsapp/call to

• Strong Technical knowledge to architect data driven analytical solutions
• Own the Technical Responsibility & drive business value for the customer requirements primarily in the below areas as a Pre-Sales Consultant:
  • Big Data (Cloudera/MapR/Azure/Snowflake)
  • Data Everything: Data Warehousing, Data Management, Data Integration, Data Analytics & BI (Tableau/SAP-SAC)
  • NoSQL (MongoDB, CouchBase, CouchDB, Cassandra, ATLAS etc.)
  • IoT-Data
  • AI/ML (Azure, Dataiku, Alteryx)
  • Provide data driven AI/ML solutions pertaining to Computer Vision/Video Analytics
  • NLP (Conversational AI/Chat Bots)
  • Others: ELK, Middleware
• Prior Experience mandatory with providing solutions in the areas of:
  • Big data & Analytics platform – Azure, Cloudera (eco-system), MapR, ELK stack, snowflake
  • Data Governance and Data Management using tools like Talend, Informatica
  • NoSQL/MPP DB- MongoDB, Couchbase, Vertica etc.
  • Data visualization using tools – PowerBI, Tableau, etc.
  • Data Analytics - AI/ML solutions pertaining to Computer vision/Video Analytics, Conversational AI (Chat Bots) etc.
• Demonstrated capability to learning new technologies and provide customer centric solutions. Must be a self-starter.
• Experience working with Partners and Vendors to build tailor made solutions
• Experience with machine learning, statistical modeling, and data mining techniques
• Experience with one or more machine learning algorithms such as neural networks, regression, clustering etc.
• Working experience with machine learning technologies such as TensorFlow, Keras, ScikitLearn, H20.ai, MXNet, Caffe etc. is highly desirable
• Experience working in an Agile (SCRUM, XP etc.) development environment
• Experience in collaborating with multi-disciplinary teams.
• Experience writing customer RFP’s in AI/ML, Data & Analytics space.
• Experience with LLM landscape, deployment and optimization.
• Capable of writing responses to RFI/RFP (Technical Proposal writing).
• Adaptive to learn new technology landscape and provide be-spoke innovative solutions to the customer.

The AI/Data Consultant will provide expert guidance on the design, development, and deployment of data and AI solutions for healthcare applications. This role requires hands-on expertise in data engineering, AI/ML model development, and healthcare interoperability standards. The consultant will work closely with technical teams and clients to deliver scalable, secure, and compliant solutions that drive business value in Abu Dhabi's healthcare ecosystem.

• Assess client requirements and design tailored data & AI solutions using Microsoft Azure services.
• Develop and implement data pipelines, ETL processes, and AI/ML models to support healthcare use cases.
• Ensure solutions comply with healthcare standards (FHIR, HL7, SNOMED) and regulations (HIPAA, GDPR).
• Provide expertise in data modeling, governance, and quality assurance for healthcare datasets.
• Design and deploy AI-driven applications, such as predictive analytics and clinical decision support systems.
• Collaborate with integration teams to enable seamless data exchange using APIs and FHIR resources.
• Conduct performance tuning, testing, and optimization of data and AI solutions.
• Create detailed technical documentation and provide training to client teams.
• Stay updated on industry trends and emerging AI technologies to recommend best practices.
• Support regional healthcare initiatives by tailoring solutions to Abu Dhabi's unique requirements.

• 8+ years of experience in data engineering, AI/ML, or related fields, with a focus on healthcare applications.
• Proficiency in Microsoft Azure services (Azure Data Factory, Databricks, Azure Machine Learning, Cosmos DB).
• Strong knowledge of AI/ML frameworks (TensorFlow, PyTorch, Scikit-learn) and programming languages (Python, Spark).
• Expertise in healthcare interoperability standards (FHIR, HL7, SNOMED, LOINC) and API development.
• Experience with data governance, ETL/ELT pipelines, and database management (SQL, Cosmos DB).
• Familiarity with microservices architecture, Kubernetes, and DevOps practices.
• Strong analytical, problem-solving, and communication skills.
• Ability to work independently and collaborate with cross-functional teams.

• Azure Data Engineer Associate or Azure AI Engineer Associate certification.
• Experience in healthcare technology projects in the Middle East.
• Knowledge of UAE-specific healthcare regulations and standards.

• Tailored data & AI solutions for healthcare use cases.
• Optimized data pipelines and AI/ML models deployed on Azure.
• Comprehensive documentation for solution design and implementation.
• Training materials and sessions for client teams.
• Performance and compliance reports for healthcare solutions.

• Be part of a flagship healthcare innovation transforming lives in Abu Dhabi.
• Gain mentorship and exposure to cutting-edge technology in digital health.
• Grow your career in a purpose-driven environment that empowers healthier communities across the region.

• Competitive salary and comprehensive benefits package.
• Opportunities for professional development and career advancement.
• Collaborative and innovative work environment focused on advancing healthcare technology.

">Machine Learning Engineer ">

As a Machine Learning Engineer, you will be responsible for designing, implementing and maintaining AI-powered solutions that drive business growth and innovation. Our team is looking for a highly skilled professional with expertise in Python programming, REST API development, cloud infrastructure, and AI model integration.

We are seeking a talented and experienced AI Solutions Architect to join our team. As an AI Solutions Architect, you will play a key role in growing our business and working closely with customers to understand their needs.

The ideal candidate will have 5+ years of customer-facing technical pre/post sales experience and 2+ years of architecting or deploying NLP/AI/LLM solutions. They will be passionate about Generative AI and have a deep understanding of its strengths and weaknesses.

The successful candidate will be comfortable working with Python and Jupyter Notebooks and have excellent communication skills. They will be able to toggle seamlessly between presenting to CEOs and getting in the weeds or white boarding with technical audiences.

As an AI Solutions Architect, you will work closely with our Product and Engineering teams to ensure our offering matches the customers' needs. You will also collaborate with our partners to develop a strategy for enabling and accelerating their customers.

We value and celebrate diversity and strive to create an inclusive work environment for all. We welcome applicants from all backgrounds and are committed to providing equal opportunities.

• Develop a deep understanding of customer problems and map them to our solutions
• Work closely with our partners to develop a strategy for enabling and accelerating their customers
• Collaborate with our Product and Engineering teams to ensure our offering matches the customers' needs

• 5+ years of customer-facing technical pre/post sales experience
• 2+ years of architecting or deploying NLP/AI/LLM solutions
• Passion for Generative AI and deep understanding of its strengths and weaknesses
• Comfortable working with Python and Jupyter Notebooks
• Excellent communication skills

• An open and inclusive culture and work environment
• Opportunity to work on cutting-edge AI research
• Flexible remote work options
• Generous parental leave policy