data scientist

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ai data scientists (cctv analytics) Jobs in Abu Dhabi

ai data scientists (cctv analytics)

data architect

senior data scientist

ai data scientists cctv analytics

DICETEK LLC

<div>The resources will support development and deployment of computer vision and video analytics solutions for CCTV use cases such as:<ul><li>
Queue monitoring and wait-time estimation</li><li>
Crowd and anomaly detection</li><li>
Operational insights generation</li></ul><h3 class="jobSectionHeader"> 
Required Skill Set</h3>
We are specifically looking for profiles with:<ul><li>
Strong experience in Computer Vision, Machine Learning, and Video Analytics</li><li>
Hands-on expertise in Python, TensorFlow, PyTorch, Scikit-learn</li><li>
Experience with object detection, tracking, and image processing</li><li>
Strong working knowledge of NVIDIA ecosystem (Jetson, TensorRT, DeepStream)</li><li>
Proven experience in edge deployment and on-prem AI environments</li><li>
Understanding of MLOps, model optimization, and monitoring</li><li>
Prior exposure to CCTV / surveillance analytics use cases (highly preferred)</li></ul> 
Skills: Computer Vision , CCTV Monitoring</div>

AI Data Scientists (CCTV Analytics)

Dicetek LLC

<div>
 The resources will support development and deployment of
 
 computer vision and video analytics solutions
 
 for CCTV use cases such as:
 
 
 <ul>
 <li>
 Queue monitoring and wait-time estimation
 </li>
 <li>
 Crowd and anomaly detection
 </li>
 <li>
 Operational insights generation
 
 
 </li>
 </ul>
 Required Skill Set
 
 
 
 We Are Specifically Looking For Profiles With
 
 
 
 <ul>
 <li>
 Strong experience in Computer Vision, Machine Learning, and Video Analytics
 </li>
 <li>
 Hands-on expertise in Python, TensorFlow, PyTorch, Scikit-learn
 </li>
 <li>
 Experience with object detection, tracking, and image processing
 </li>
 <li>
 Strong working knowledge of NVIDIA ecosystem (Jetson, TensorRT, DeepStream)
 </li>
 <li>
 Proven experience in edge deployment and on-prem AI environments
 </li>
 <li>
 Understanding of MLOps, model optimization, and monitoring
 </li>
 <li>
 Prior exposure to CCTV / surveillance analytics use cases (highly preferred)
 </li>
 </ul>
</div>

Presight

<div>
 
 
 Job Description: Lead Engineer - Data Centre &amp; Smart Infrastructure
 
 
 
 
 Location: Abu Dhabi
 
 
 
 
 About Presight
 
 
 
 
 
 
 Presight &mdash; ADX-listed, G42-backed, and the region's leading GenAI analytics company &mdash; is hiring a Solution Architect who is equally comfortable drawing integration blueprints and sitting in front of a client boardroom.
 
 
 This is not a purely pre-sales or design role. We need someone who has lived inside data centre programmes from concept through commissioning, owned stakeholder relationships end-to-end, and can still roll up their sleeves when it matters.
 
 
 
 
 
 
 The Opportunity
 
 
 
 We are seeking a highly experienced, hands-on Lead Engineer to drive the design, integration, and delivery of complex smart infrastructure solutions across data centres, SCADA, BMS/DCIM, IoT, and enterprise AI platforms. This role demands an ideal blend of deep technical expertise and delivery leadership &mdash; someone who can own end-to-end engineering outcomes while collaborating across multi-vendor, cross-functional teams. In later project phases, the role will progressively take on project management responsibilities, steering delivery planning, stakeholder coordination, and operational handover.
 
 
 
 Responsibilities
 
 
 <ul>
 <li>
 Lead end-to-end solution design and implementation for integrated systems spanning data centres, SCADA/OT, BMS, CCTV, access control, fire alarm, and AI/analytics platforms.
 </li>
 <li>
 Translate business requirements into scalable, secure, and high-performance architectures, ensuring alignment with business objectives and AI-driven solutions.
 </li>
 <li>
 Define and manage integration architecture across multi-vendor platforms, including APIs, middleware, data pipelines, and OT/IoT protocols (BACnet, Modbus, MQTT, REST).
 </li>
 <li>
 Develop and review high-level and low-level design documents (HLD/LLD), architectural blueprints, and vendor proposals, ensuring system feasibility and seamless cross-platform integration.
 </li>
 <li>
 Define and document data flows across systems &mdash; from IoT sensors and gateways through to DCIM/BMS, CCTV/VMS, analytics engines, and command &amp; control dashboards.
 </li>
 <li>
 Act as the technical bridge from initial design discussions through to final delivery, working closely with project managers, business analysts, architects, developers, and external partners.
 </li>
 <li>
 Coordinate with the PMO and product managers to assess resource requirements, delivery goals, and potential risks; identify risks and implement mitigation strategies to minimize impact on project quality and timelines.
 </li>
 <li>
 Oversee system integration testing (SIT), UAT, and commissioning activities, validating that delivered solutions meet performance, security, and regulatory requirements.
 </li>
 <li>
 Prepare and maintain high-quality technical documentation including architecture documents, integration diagrams, data flow diagrams, test plans, SOPs, and acceptance criteria.
 </li>
 <li>
 Provide cost modelling and technical inputs for financial forecasts, including BoMs, CAPEX/OPEX estimates, and TCO projections based on solution design.
 </li>
 <li>
 Support value engineering and scenario analysis, ensuring architecture decisions are cost-optimized, risk-aware, and aligned with budget and business case objectives.
 </li>
 <li>
 Ensure compliance with industry standards and regulations for security systems and drive adherence to security, compliance, and performance best practices, while considering long-term scalability.
 </li>
 <li>
 Cultivate a supportive team environment by valuing input from team members, mentoring junior engineers, and encouraging professional growth.
 </li>
 </ul>
 
 
 Qualifications
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in engineering, Computer Science, Information Technology, or a related field.
 </li>
 <li>
 10+ years of experience in system engineering, solution architecture, or technical lead roles within smart infrastructure, data centre, or mission-critical environments.
 </li>
 <li>
 Proven experience with OT systems integration &mdash; BMS, DCIM, SCADA, CCTV/VMS, PSIM, access control, and fire alarm systems.
 </li>
 <li>
 Strong understanding of OT/IoT protocols such as BACnet, Modbus, MQTT, and REST/HTTP APIs.
 </li>
 <li>
 Hands-on experience with multi-vendor platform integrations involving AI platforms, video management systems, connectivity, and IoT sensors.
 </li>
 <li>
 Strong understanding of edge vs. cloud-based architectures, including deployment trade-offs and performance considerations.
 </li>
 <li>
 Solid understanding of data centre concepts &mdash; power, cooling, racks, DCIM/BMS, monitoring, incident and change management.
 </li>
 <li>
 Experience with Agile/Scrum delivery practices, including backlog management and sprint planning.
 </li>
 <li>
 Exceptional interpersonal, stakeholder management, and client-facing skills, with a collaborative and empathetic approach.
 </li>
 <li>
 Strong organizational, planning, and problem-solving skills, with attention to detail and a proactive mindset.
 </li>
 <li>
 Excellent communication and documentation skills with the ability to translate complex technical concepts into business-friendly language.
 </li>
 </ul>
 
 
 Preferred Experience
 
 
 <ul>
 <li>
 Experience in mission-critical facilities &mdash; data centres, critical infrastructure, smart buildings, or industrial IoT environments.
 </li>
 <li>
 Exposure to digital twin platforms, 3D modelling, or BIM-based systems.
 </li>
 <li>
 Experience with AI/ML and analytics use cases for operations, security, and automation.
 </li>
 <li>
 Familiarity with cloud-native IoT platforms (e.g., Azure IoT, Kafka) and enterprise system integration.
 </li>
 <li>
 Background in system integrator firms or large-scale infrastructure delivery programmes.
 </li>
 </ul>
 
 
 
 
 Join us at Presight, where we offer a culture of innovation, outstanding career growth opportunities, and competitive rewards. If you're eager to conquer new frontiers in AI and thrive in a dynamic environment, we welcome you to our community.
 
 
 
 
 
 
 What Working at Presight Offers
 
 
 <ul>
 <li>
 
 Culture:
 
 An open, diverse and inclusive environment with a global vision that encourages personal growth and focuses on ground-breaking, industry-first innovations.
 </li>
 <li>
 
 Career:
 
 Outstanding learning, development &amp; growth opportunities via structured training programmes and innovative, high-tech projects.
 </li>
 <li>
 
 Rewards:
 
 A competitive remuneration package with a host of perks including healthcare, education support, leave benefits and more.
 </li>
 </ul>
 
 
</div>

Lead Software Engineer

Antal International

<div>
 
 Antal International is collaborating with one of the UAEs leading government entities on a landmark initiative to modernize and strengthen the nation&rsquo;s financial infrastructure.
 
 
 
 
 
 This transformative program is driving the future of banking and financial services through
 
 AI, data analytics, and advanced digital technologies
 
 , including the development of next-generation AI-powered financial platforms.
 
 
 
 
 
 We are now looking to engage exceptional
 
 AI professionals (UAENationals and Expats)
 
 to be part of this high-impact transformation journey.
 
 
 
 
 
 
 
 ROLES IN DEMAND INCLUDE:
 
 
 
 <ul>
 <li>
 AI / Machine Learning Engineers
 </li>
 <li>
 AI/ ML Data Analyst
 </li>
 <li>
 Data Scientist (AI/ML Focus)
 </li>
 <li>
 Data Scientists &amp; Data Engineers
 </li>
 <li>
 AI Product &amp; Platform Specialists
 </li>
 <li>
 AI Digital Transformation Experts
 </li>
 <li>
 Analytics &amp; AI Strategy Professionals
 </li>
 </ul>
 
 
 
 
 
 
 KEY RESPONSIBILITIES
 
 
 
 <ul>
 <li>
 Design, develop, and deploy AI/ML models and data-driven solutions to solve complex business problems
 </li>
 <li>
 Work on end-to-end machine learning lifecycle including data collection, feature engineering, model training, evaluation, and deployment
 </li>
 <li>
 Build scalable data pipelines and support data engineering activities for structured and unstructured data
 </li>
 <li>
 Perform advanced data analysis to generate actionable insights for business and technology stakeholders
 </li>
 <li>
 Collaborate with product teams to integrate AI capabilities into digital platforms and applications
 </li>
 <li>
 Support AI-driven digital transformation initiatives across business functions
 </li>
 <li>
 Develop dashboards, analytics frameworks, and reporting systems for decision-making
 </li>
 <li>
 Contribute to AI strategy, experimentation, and innovation initiatives
 </li>
 <li>
 Ensure model performance, optimization, and continuous improvement in production environments
 </li>
 <li>
 Work closely with cross-functional teams including product, engineering, and business stakeholders
 </li>
 </ul>
 
 
 
 
 
 
 REQUIRED SKILLS &amp; QUALIFICATIONS
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Science, AI, Engineering, Mathematics, or related field
 </li>
 <li>
 Strong understanding of
 
 AI, Machine Learning, and Data Analytics concepts
 
 </li>
 <li>
 Experience with Python, SQL, and data processing frameworks
 </li>
 <li>
 Familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn)
 </li>
 <li>
 Knowledge of data engineering tools and cloud platforms (AWS, Azure, or GCP)
 </li>
 <li>
 Experience in building dashboards and analytical models is an advantage
 </li>
 <li>
 Strong problem-solving, analytical, and communication skills
 </li>
 <li>
 Ability to work in fast-paced, agile, and transformation-driven environments
 </li>
 </ul>
 
 
 
 
 
 
 WHAT YOU&rsquo;LL WORK ON
 
 
 
 <ul>
 <li>
 Building and deploying AI/ML models and intelligent systems
 </li>
 <li>
 Developing scalable data pipelines and analytics solutions
 </li>
 <li>
 Driving AI-powered digital transformation initiatives
 </li>
 <li>
 Collaborating with product, engineering, and business teams
 </li>
 <li>
 Delivering insights and solutions that impact real business outcomes
 </li>
 </ul>
 
 
</div>

AI, Data & Digital Transformation Professionals (UAEN & Expats)

ENEC Operations

<div>
 
 The Data and AI Engineering Expert is a senior hands-on technical authority responsible for the design, development, and operationalization of enterprise data and AI platforms across ENEC. This role leads the engineering delivery of scalable, secure, and compliant data pipelines, AI/ML solutions, and analytics platforms leveraging technologies such as Databricks (Delta Lake, Unity Catalog, MLflow, Delta Live Tables), Microsoft Azure (Azure Data Factory, Azure ML, Microsoft Fabric, Azure AI Foundry, Copilot Studio), Collibra (Data Governance &amp; Data Quality), Power BI, and OT/industrial data systems including PI System, SCADA, and DCS.
 
 
 
 
 
 The Expert applies deep engineering expertise to architect and deliver production-grade solutions, ensures data governance and quality standards are upheld, and drives the adoption of AI and analytics capabilities that directly support ENEC's mission of safe, innovative, and efficient nuclear energy generation. This role acts as a principal technical contributor and mentor, enabling operational excellence and digital transformation at scale.
 
 
 Activity: Data Engineering Architecture &amp; Platform Development
 
 
 
 
 
 Responsibilities and Accountabilities:
 
 
 &bull; Design, build, and maintain scalable, secure, and high-performance data platforms including Lakehouse architectures using Databricks Delta Lake, Unity Catalog, and Delta Live Tables (DLT).
 
 
 &bull; Develop and operationalize robust data pipelines, ETL/ELT workflows, and integration frameworks using Azure Data Factory, Databricks Workflows, and related orchestration tools.
 
 
 &bull; Architect and implement data models, semantic layers, and data products that serve enterprise analytics, AI, and reporting needs.
 
 
 &bull; Ensure seamless integration of OT and industrial data sources &mdash; including PI System, SCADA, and DCS &mdash; into enterprise data platforms.
 
 
 &bull; Design and implement APIs, data contracts, and integration frameworks to enable enterprise-wide data consumption.
 
 
 &bull; Ensure platform scalability, resilience, high availability, and disaster recovery capabilities in compliance with nuclear and regulatory requirements.
 
 
 &bull; Apply and enforce data standards, naming conventions, and metadata management practices across all data assets using Collibra and Unity Catalog.
 
 
 Responsibilities and Accountabilities:
 
 
 &bull; Design, develop, and deploy production-grade machine learning, deep learning, and generative AI models using Azure ML, MLflow, and Databricks ML.
 
 
 &bull; Engineer end-to-end MLOps pipelines covering model training, versioning, validation, deployment, monitoring, and retraining &mdash; ensuring reliability and reproducibility.
 
 
 &bull; Build and operationalize AI-powered solutions including predictive analytics, anomaly detection, natural language processing (NLP), and GenAI/LLM-based applications using Azure AI Foundry and Copilot Studio.
 
 
 &bull; Develop BI and semantic models in Microsoft Fabric and Power BI, enabling self-service analytics and executive reporting across the organization.
 
 
 &bull; Apply Responsible AI principles and governance frameworks to all AI and ML solutions, ensuring explainability, fairness, and compliance.
 
 
 &bull; Conduct rigorous model evaluation, performance benchmarking, and validation to ensure solutions meet accuracy, reliability, and safety standards.
 
 
 &bull; Contribute to the continuous improvement of AI engineering standards, patterns, and reusable components across the enterprise.
 
 
 Activity: Advanced Subject Matter Knowledge
 
 
 
 
 
 Responsibilities and Accountabilities:
 
 
 &bull; Demonstrates deep, hands-on expertise in enterprise data engineering, AI/ML platform development, and cloud-native architectures within highly regulated environments.
 
 
 &bull; Maintains current knowledge of global trends in data engineering, MLOps, GenAI, cloud technologies (Azure, hybrid, on-premise), and nuclear industry compliance requirements.
 
 
 &bull; Understands the full lifecycle of data and AI platforms including design, development, testing, deployment, monitoring, and decommissioning.
 
 
 &bull; Applies comprehensive knowledge of data governance frameworks (Collibra, Unity Catalog), master data management, data quality, and lineage management.
 
 
 &bull; Possesses strong awareness of OT/IT convergence, industrial data systems (PI System, SCADA, DCS), and their integration into enterprise analytics environments.
 
 
 &bull; Maintains expert-level proficiency in programming languages and frameworks including Python, SQL, Spark, and relevant AI/ML libraries.
 
 
 Activity: Complex Problem Solving &amp; Innovation
 
 
 
 
 
 Responsibilities and Accountabilities:
 
 
 &bull; Tackles complex, ambiguous engineering challenges in data platform architecture, AI model development, and system integration &mdash; delivering innovative, compliant, and production-ready solutions.
 
 
 &bull; Leads root cause analysis and corrective/preventive actions for platform incidents, data quality failures, model degradation, and system disruptions.
 
 
 &bull; Develops and implements robust engineering solutions to address performance bottlenecks, scalability constraints, and integration challenges.
 
 
 &bull; Navigates conflicting technical requirements, evolving regulatory standards, and stakeholder needs to deliver optimal engineering outcomes.
 
 
 &bull; Drives continuous improvement by benchmarking against global engineering best practices, evaluating emerging technologies, and implementing lessons learned.
 
 
 &bull; Leads proof-of-concept and pilot initiatives to evaluate new data and AI technologies and engineering approaches
 
 
 
 
 
 Activity: Applied Skills &amp; Professional Know-How
 
 
 
 
 
 Responsibilities and Accountabilities:
 
 
 &bull; Expertly engineers, deploys, and operates scalable, secure, and compliant data and AI platforms across Databricks, Azure, and OT environments.
 
 
 &bull; Applies hands-on proficiency in building data pipelines, ML models, GenAI solutions, BI semantic models, and governance frameworks in production environments.
 
 
 &bull; Mentors and develops junior and mid-level data engineers, data scientists, and analytics engineers &mdash; building future-ready technical capabilities.
 
 
 &bull; Leads technical design reviews, code reviews, and architecture assessments to uphold engineering quality and best practices.
 
 
 &bull; Effectively translates complex technical concepts into clear, actionable insights for both technical and non-technical stakeholders.
 
 
 &bull; Documents solutions, engineering patterns, and technical standards to build institutional knowledge and enable knowledge transfer.
 
 
 Activity: Security, Governance &amp; Compliance
 
 
 
 
 
 Responsibilities and Accountabilities:
 
 
 &bull; Design and enforce data security, access control, and privacy frameworks across all data and AI platforms using Unity Catalog, Collibra, and Azure security controls.
 
 
 &bull; Ensure all data engineering and AI solutions comply with national and international nuclear regulations, FANR requirements, and Responsible AI principles.
 
 
 &bull; Maintain comprehensive data lineage, audit trails, and documentation to support regulatory, audit, and governance requirements.
 
 
 &bull; Implement and enforce data quality frameworks and data governance policies using Collibra Data Quality and Unity Catalog.
 
 
 &bull; Conduct regular platform security assessments, data quality audits, and compliance reviews.
 
 
 &bull; Oversee risk management, audit readiness, and the implementation of robust technical controls for all platform operations.
 
 
 
 
 
 
 
 
 
 Minimum
 
 
 
 &bull; Bachelor&rsquo;s degree in computer science, Information Technology, Data Management, Engineering, or related discipline.
 
 
 &bull; Minimum 12+ years' hands-on experience in enterprise data engineering, AI/ML platform development, and cloud-native architectures, including production deployment and operations.
 
 
 &bull; Experience embedding governance within modern data platforms (preferably Databricks) and integrating SAP/Oracle ERP domains.
 
 
 
 
 
 
 
 
 
 Preferred
 
 
 
 
 
 
 &bull; Master&rsquo;s degree in a relevant field.
 
 
 &bull; Experience in energy, utilities, nuclear, financial services, government, or other highly regulated sectors.
 
 
 &bull; Demonstrated AI governance experience (provenance, bias monitoring, model data requirements) in data bricks or similar AI/analytics platforms exposure.
 
 
 &bull; Demonstrated experience leading large-scale data and AI engineering programs
 
 
 
 
 
 
 
 
 
 Certification -
 
 
 
 
 
 
 Multiple cloud and AI certifications. Microsoft Fabric, Azure AI Foundry, or Databricks Unity Catalog specialty certifications. Industry publications or contributions in data engineering or AI.
 
 
 
 
 
 Relevant certifications in one or more of: Databricks (Data Engineer Associate/Professional, ML Professional), Microsoft Azure (Data Engineer, AI Engineer, Solutions Architect), MLOps, or Data Governance (Collibra).
 
</div>

Data and AI Engineering Expert

HTC Global Services

<div>
 
 Exciting Opportunity Alert! 🌟 HTC Global Services is hiring Azure Data bricks - Lead (Airline Project) for an 1-year extendable contract in Abu Dhabi, UAE (Onsite).
 
 
 
 
 
 HTC Global Services - a leading CMM level 5 global provider of innovative IT and Business Process Services and Solutions since 1990 with headquarters in Troy, Michigan, USA.
 
 
 
 
 <ul>
 <li>
 Lead and manage a team of Data Engineers, providing technical guidance, mentorship, and performance coaching.
 </li>
 <li>
 Design, develop, and optimize large-scale data pipelines using Azure Databricks and PySpark.
 </li>
 <li>
 Architect and implement modern data lake and lakehouse solutions using Azure Data Lake Storage (ADLS).
 </li>
 <li>
 Build and maintain batch and real-time streaming data pipelines using technologies such as Azure Event Hubs, Kafka, Spark Streaming, or Structured Streaming.
 </li>
 <li>
 Collaborate with Solution Architects, Data Scientists, Product Owners, and business stakeholders to define data requirements and technical solutions.
 </li>
 <li>
 Establish data engineering best practices, coding standards, CI/CD processes, and governance frameworks.
 </li>
 <li>
 Ensure high availability, scalability, security, and performance of data platforms.
 </li>
 <li>
 Drive Agile delivery, sprint planning, effort estimation, and technical reviews.
 </li>
 <li>
 Troubleshoot complex data engineering challenges and optimize platform performance.
 </li>
 <li>
 Evaluate emerging technologies and recommend improvements to the organization's data architecture.
 </li>
 </ul>
 
 Required Skills &amp; Experience
 
 
 Technical Skills
 
 <ul>
 <li>
 Strong experience with Azure Data Engineering ecosystem.
 </li>
 <li>
 Expert-level proficiency in Azure Databricks.
 </li>
 <li>
 Strong hands-on experience with PySpark and Apache Spark.
 </li>
 <li>
 Experience with Azure Data Lake Storage (ADLS Gen2).
 </li>
 <li>
 Expertise in designing and implementing streaming data solutions using:
 </li>
 <li>
 Spark Structured Streaming
 </li>
 <li>
 Azure Event Hubs
 </li>
 <li>
 Apache Kafka
 </li>
 <li>
 Real-time data processing frameworks
 </li>
 <li>
 Experience with Azure Data Factory (ADF) for orchestration and ETL workflows.
 </li>
 <li>
 Strong SQL and data modeling skills.
 </li>
 <li>
 Experience with Delta Lake and Lakehouse architecture.
 </li>
 <li>
 Knowledge of CI/CD pipelines, Azure DevOps, Git, and Infrastructure as Code.
 </li>
 <li>
 Experience working with large-scale enterprise data platforms.
 </li>
 <li>
 Strong experience with
 
 Databricks Unity Catalog
 
 for enterprise data governance, access control, metadata management, and secure data sharing across multiple workspaces.
 </li>
 <li>
 Hands-on experience with
 
 Lakeflow Declarative Pipelines (formerly Delta Live Tables)
 
 for building scalable, reliable, and maintainable data ingestion and transformation pipelines.
 </li>
 <li>
 Expertise in implementing data quality checks, monitoring, lineage, and orchestration using Databricks-native pipeline capabilities.
 </li>
 <li>
 Experience working with
 
 Databricks Genie
 
 and AI-powered conversational analytics to enable business users to interact with enterprise data through natural language interfaces.
 </li>
 <li>
 Knowledge of integrating Generative AI capabilities within the Databricks ecosystem, including leveraging Databricks AI/BI, Genie Spaces, and Lakehouse AI features.
 </li>
 <li>
 Strong understanding of Delta Lake optimization techniques, including partitioning, clustering, performance tuning, and data lifecycle management.
 </li>
 <li>
 Experience in designing and implementing modern Lakehouse architectures using Databricks, Unity Catalog, Delta Lake, and Azure Data Lake Storage (ADLS).
 </li>
 </ul>
 
 Preferred Qualifications
 
 <ul>
 <li>
 Databricks Certified Data Engineer Professional.
 </li>
 <li>
 Experience implementing enterprise-wide data governance frameworks using Unity Catalog.
 </li>
 <li>
 Exposure to Databricks AI/BI, Genie, Mosaic AI, Vector Search, and Retrieval-Augmented Generation (RAG) architectures.
 </li>
 <li>
 Experience supporting self-service analytics and business intelligence solutions using Databricks Lakehouse Platform.
 </li>
 <li>
 Experience leading modernization initiatives involving migration from traditional data warehouses to Databricks Lakehouse.
 </li>
 </ul>
 
 
 
 
 Interested candidates please do share your updated CV to mubeenakamal.basha@htcinc.com mentioning your Current CTC, expected CTC and notice period details.
 
 
 
 
 
 #HTCGlobalServices #ITJobs #hiring #lookingforjob #careers #jobs #immediatejoiner #recruitment #technology #jobseekers #interview #lookingforjobchange #newjob #Uaejobs #DataLead #Azuredata #ADB #Databricks
 
</div>

Azure Databricks Lead - Airline Domain

TALENTMATE

<div>
 
 Job Description
 
 
 
 
 Job Description
 
 
 
 Presight AI is seeking an innovative, creative and experienced Backend Engineer to build the structure of advanced software applications by writing flawless business logic, server scripts, and APIs.
 
 
 
 The opportunity
 
 
 
 You get to play a key technical role in sustaining and optimizing the infrastructure that develops and delivers cutting edge, next-gen analytics solutions at Presight.
 
 
 Presight is UAE's leading Analytics-driven, Cloud first, AI-enabled company with a deep focus on driving digital transformation in the MENACA region to power the next generation of cities, businesses, and industries. When it comes to challenges faced by organizations in the MENACA regions, Presight has in-depth knowledge and expertise. Presight enables public and private sector stakeholders to make analytics-driven, intelligent decisions. Its solutions help steer digital transformation and simplify its customers' challenges across various industries, including digital governments, national security, national cloud, healthcare, financial sectors, and infrastructure.
 
 
 Founded in 2020, the company is headquartered in Abu Dhabi, UAE. Presight has developed transformative products/solutions which enable its customers to gain a stark competitive advantage by integrating AI, deep Analytics and ML in their digital transformation. The team of over +190 staff includes domain specialists, operations experts, data scientists, solution architects, software developers, engineers and data analysts from different countries &ndash; all committed to delivering impact.
 
 
 Presight is an operating company of G42, UAE's leading AI and Cloud Computing company that champions AI as drivers that power progress, propelled by the combination of exceptional people and technology.
 
 
 
 Key Responsibilities
 
 
 
 Reporting to the Lead Backend Engineer, Analytics, you will design business specific software components and modules using appropriate modelling techniques in line with agreed software design standards, patterns and methodology.
 
 
 
 Functional
 
 
 
 <ul>
 <li>
 Create and communicate multiple design views to identify and balance the concerns of all stakeholders of software design and allow for both functional &amp; non-functional requirements.
 </li>
 <li>
 Model or simulate the behavior of proposed software to enable approval by stakeholders and facilitate effective construction of the software.
 </li>
 <li>
 Design, code, verify, test, document, amend and re-factor complex programs/scripts and integration software services.
 </li>
 <li>
 Define and manage scoping, requirement definition and prioritization activities for small-scale changes and assist with more complex change initiatives.
 </li>
 <li>
 Follow agreed standards and apply appropriate techniques to elicit and document detailed requirements.
 </li>
 <li>
 Contribute to the appropriate selection of a software development approach&mdash;predictive (plan-driven) or adaptive (iterative/agile).
 </li>
 <li>
 Design test cases and test scripts mapping back to pre-determined criteria, clearly recording and reporting outcomes.
 </li>
 <li>
 Develop and maintain specialist knowledge of database and data warehouse concepts, design principles, architecture, software and facilities.
 </li>
 <li>
 Develop optimal solutions to enhance user experience, optimizing for maximum speed, scalability and technical feasibility.
 </li>
 <li>
 Participate in overall architecture discussion meetings to gain a detailed understanding of the complete architecture of a product and its functionalities.
 </li>
 <li>
 Build reusable code and libraries for future use.
 
 
 </li>
 </ul>
 
 Skills And Attributes For Success
 
 
 
 The yardsticks of your performance would include cost savings achieved, reduction in productivity loss, number of processes optimized, number of defect free tasks, adherence to policies, procedures &amp; quality standards, and customer NPS.
 
 
 
 To qualify, you must have
 
 
 
 <ul>
 <li>
 Bachelor's Degree in Information Technology, Computer Science, Engineering or related field
 </li>
 <li>
 Minimum 5 years of experience in software engineering with strong computer science fundamentals
 </li>
 <li>
 At least 3 years of experience in Java Spring Boot and microservices development
 </li>
 <li>
 Familiar with Maven
 </li>
 <li>
 Extensive UNIX/LINUX experience and Shell scripting experience
 </li>
 <li>
 Proficiency in understanding data, entity relationships, structured &amp; unstructured data, SQL and NoSQL databases, better to be familiar with Elasticsearch
 </li>
 <li>
 Experience in RESTful API development
 </li>
 <li>
 Practices in multithreading programming and concurrency programming
 </li>
 <li>
 Use git proficiently
 
 
 </li>
 </ul>
 
 Ideally, you&rsquo;ll also need
 
 
 
 <ul>
 <li>
 Experience in nginx server
 </li>
 <li>
 Experience in using AWS or Azure cloud services
 </li>
 <li>
 A passion for constant improvement
 </li>
 <li>
 An innovative and creative approach to problem-solving
 </li>
 <li>
 Excellent communication skills
 
 
 </li>
 </ul>
 
 What we look for:
 
 
 
 If you are a performance-driven, inquisitive mind with the agility to adapt to ambiguity, you will fit right in. You should be eager to explore opportunities to build meaningful collaborations with stakeholders and aspire to create unique customer-centric solutions. Bias for action and a passion to conquer new frontiers in the AI space is at the heart of the G42 community.
 
 
 
 What Working At G42 Offers
 
 
 
 
 
 Culture:
 
 
 An open, diverse and inclusive environment with a global vision that encourages personal growth and focuses on ground-breaking, industry-first innovations.
 
 
 
 
 Career:
 
 
 Outstanding learning, development &amp; growth opportunities via structured training programs and innovative, high-tech projects.
 
 
 
 
 Rewards:
 
 
 A competitive remuneration package with a host of perks including healthcare, education support, leave benefits and more.
 
 
 Job Details
 
 
 Role Level: Not Applicable Work Type: Full-Time Country: United Arab Emirates City: Abu Dhabi Company Website: https://www.presight.ai Job Function: Software Development Company Industry/
 
 
 Sector: Other
 
 
 What We Offer
 
 
 
 About The Company
 
 
 
 Searching, interviewing and hiring are all part of the professional life. The TALENTMATE Portal idea is to fill and help professionals doing one of them by bringing together the requisites under One Roof. Whether you're hunting for your Next Job Opportunity or Looking for Potential Employers, we're here to lend you a Helping Hand.
 
 
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Backend Engineer

Explore 308+ Ai data scientists cctv analytics in Abu Dhabi this July. Find roles across top companies and apply now to boost your career.

308 ai data scientists cctv analytics jobs In Abu Dhabi

AI Data Scientists (CCTV Analytics)

AI Data Scientists (CCTV Analytics)

Lead Software Engineer

AI, Data & Digital Transformation Professionals (UAEN & Expats)

Data and AI Engineering Expert

Azure Databricks Lead - Airline Domain

Backend Engineer