94 Technology jobs in the United Arab Emirates
Technology Architect
Posted 5 days ago
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Job Description
**Key Responsibilities:**
+ Design and implement scalable solutions tailored to retail banking needs.
+ Integrate systems using **Docker Containers** , **Mockito** , **GitHub** , and related technologies.
+ Optimize deployment with **Docker Hub** and **Container Registry** .
+ Enhance security and performance via **API Gateway** , **JWT** , and **Netflix Hystrix** .
+ Ensure resilience and monitoring using **Apache Log4J** , **Spring Cloud** , and **Spring Boot** .
+ Develop and maintain **REST API** and **SOAP** services.
+ Utilize tools like **Eclipse** , **IntelliJ IDEA** , **Maven** , and **Gradle** for efficient development.
**Qualifications:**
+ Strong expertise in **Docker** , **Mockito** , **GitHub** , and **Java-based frameworks** .
+ Experience with **Spring MVC** , **Spring Core** , **Redis** , **EHCache** , and **Spring Integration** .
+ Proficiency in **unit testing** using **JUnit** and managing build processes.
+ Familiarity with **microservices architecture** , **authentication protocols** , and **caching strategies** .
Cognizant is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.
Information Technology
Posted today
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Job Description
Overview
Requirement : looking For Retailers in GCC
ProductBIOTEMP - A Fascial Biometric DeviceIt is contactless Face recognition with build-in temperature recording. It performs facial recognition and temperature screening in about a second. It is also capable of recognizing while a mask is worn. Recognizing and alerting abnormal or high temperatures.Key Features:BIOTEMP takes about a second for facial recognition and temperature screening.It can perform facial recognition while wearing a mask.High temperature notification on screen with an alarm.20,000 Facial profiles can be registered.Being contactless facial recognition & temperature screening solution, it would reduce infections.Has WiFi capability.What is included in the Kit:Hardware: BIOTEMP Device (Incudes 8-inch facial recognition dual camera).First year annual subscription of software/subscription fees.Professional Services: Installation & setupUser TrainingDeal:Looking for Retailers in GCC.Download the brochure & connect with MAGAS ( ) for more details.Validation by Singapore GovernmentThe InfoComm Media Development Authority (IMDA), a statutory board of the Singapore Government, under the Ministry of Communications and Information,has pre-approved BioTemp solution under the prestigious "SME's Go Digital" Program.
Key Features- BIOTEMP takes about a second for facial recognition and temperature screening.
- It can perform facial recognition while wearing a mask.
- High temperature notification on screen with an alarm.
- 20,000 Facial profiles can be registered.
- Being contactless facial recognition & temperature screening solution, it would reduce infections.
- Has WiFi capability.
- Hardware: BIOTEMP Device (Includes 8-inch facial recognition dual camera).
- First year annual subscription of software/subscription fees.
- Professional Services: Installation & setup
- User Training
Deal:Looking for Retailers in GCC.
Download the brochure & connect with MAGAS ( ) for more details.
ValidationValidation by Singapore Government The InfoComm Media Development Authority (IMDA), a statutory board of the Singapore Government, under the Ministry of Communications and Information, has pre-approved BioTemp solution under the prestigious "SME's Go Digital" Program.
#J-18808-LjbffrSenior Technology Engineer
Posted today
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Job Description
We are seeking an experienced Senior Data Engineer to lead the design, development, and optimization of large-scale data platforms across Azure, Google Cloud, and hybrid environments.
You will architect data pipelines that power AI-driven analytics, knowledge graphs, and agentic automation across enterprise and national-level projects.
The ideal candidate combines deep expertise in data architecture, orchestration, and cloud infrastructure with hands‑on experience using AI‑assisted development tools to accelerate delivery and ensure scalability, reliability, and intelligence in every layer of the data stack.
Key Responsibilities- Architect and lead the design of end‑to‑end data pipelines using Apache Airflow, Azure Data Factory, and Google Cloud Composer.
- Design and manage data lake, data warehouse, and OLAP architectures using MSSQL, SSIS, and SSAS.
- Build and optimize ETL/ELT frameworks integrating structured, semi‑structured, and unstructured data across APIs, databases, and streaming platforms.
- Implement and maintain graph and NoSQL databases (e.g., Neo4j, Cosmos DB, MongoDB, Elasticsearch) to support semantic analytics, search, and recommendation systems.
- Establish standards for data quality, lineage, governance, and observability.
- Collaborate with AI engineers, data scientists, and business analysts to enable retrieval‑augmented generation (RAG), knowledge graph, and agentic orchestration use cases.
- Drive multi‑cloud infrastructure automation through Terraform, Pulumi, or Bicep and CI/CD pipelines.
- Champion AI‑assisted coding practices (e.g., GitHub Copilot, ChatGPT, Cursor) to enhance productivity, testing, and documentation.
- Mentor junior engineers, review designs, and promote best practices in data architecture, DevOps, and AI‑native engineering.
- Contribute to strategic roadmap planning, including capacity scaling, cost optimization, and data-driven innovation initiatives.
- Bachelor’s or Master’s degree in Computer Science, Data Engineering, or related field.
- 5–10 years of progressive experience in data engineering, data architecture, or analytics infrastructure roles.
- Deep expertise in SQL/T‑SQL, performance optimization, and data modeling.
- Proven hands‑on experience with SSIS and SSAS, including cube design and deployment.
- Advanced proficiency with Airflow (custom DAGs, operators, sensors, and monitoring).
- Solid understanding of Azure (Data Factory, Synapse, Blob Storage, Functions) and Google Cloud (BigQuery, Cloud Storage, Pub/Sub) ecosystems.
- Strong Python development skills for ETL, automation, and API integration.
- Experience with Docker, Kubernetes, and CI/CD workflows for data services.
- Hands‑on experience with graph databases (Neo4j, Neptune, TigerGraph) and NoSQL stores (MongoDB, Cosmos DB, Elasticsearch, etc.).
- Demonstrated use of AI‑powered development tools (GitHub Copilot, ChatGPT, Replit Ghostwriter, Code Interpreter) in professional workflows.
- Knowledge of data security, governance, and compliance frameworks (GDPR, ISO 27001, NIST).
Our Commitment to Equal Opportunities: At Whiteshield, we are committed to providing equal opportunities in employment regardless of individual characteristics. We recognize that our employees feel appreciated when their thoughts and values are respected and considered. We’re committed to maintaining and driving an inclusive culture and workplace where all talents are nurtured and feel empowered to contribute.
Celebrating Achievements: At Whiteshield, we seek to reward those who demonstrate exceptional individual achievements above and beyond expectations in the pursuit of continuously seeking excellence for our clients. When individuals excel, we show our appreciation and celebrate achievements by generously recognizing and supporting the career progression of those who make unique contributions to the firm.
Empowering Our People: At Whiteshield, we recognize that our employees are the core to our success and believe that when our exceptional talent comes together, and wellbeing is a priority – innovation thrives. We are dedicated to promoting and encouraging a healthy work‑life balance and adopting a genuinely flexible working model to empower our employees to pursue a balance that suits their personal needs.
#J-18808-LjbffrSales Executive - Technology
Posted today
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Job Description
Dubai, United Arab Emirates | Posted on 10/08/2025 | City: Dubai
Job Description1.1. ProspectSales: Attend to walk-in and campaign-generated leads. Build and maintain strongcustomer relationships. Advise on the most suitable technology products andsolutions. Conduct competitive market research and share insights. Negotiateprices, quantities, and product specifications with customers. Prepareproposals, presentations, and bids for business. Offer outstanding customerservice throughout the sales cycle.
1.2. Sales and Payment: Inspectinventory and ensure high display standards . Collaborate with product teams on enhancements andpromotions.Create accurate and detailedquotations using Zoho tools. Independently close sales, meeting monthly,quarterly, and yearly targets. Manage timely payment collections fromcustomers.
1.3. Delivery& Shipments: Coordinate specifications, costs, and delivery timelines with clients. Work with logistics partners to track andensure timely delivery. Prepare invoicesand shipping documents with accurate cost breakdowns. Guide customers on how touse the company’s Support Portal for technical assistance and ticketing. Ensurea proper handover to the Support Team post-delivery for onboarding, setup, andissue resolution.
1.4. SupportPR & Admin Activities: Participateand take active role as advised by management in Robotic events by the companylike Robo CAMP, Robotics Championships, Robotic Internships, Events,Exhibitions, and Expo. Maintaincleanliness of premises and ensure demo robots are fully charged andoperational. Support PR and admin activities assigned by management. Prepareand submit accurate weekly/monthly sales reports, lead status, and customerfeedback to the reporting manager.
- Education: Certificate or diploma in technology/business or related field.
- Experience: Minimum 2 years in technology product sales.
- Excellent verbal and written communication.
- Good negotiation and presentation skills.
- Hands‑on experience with Zoho CRM Plus & Zoho Finance.
- Strong attention to detail and organization.
- Adaptability to work flexible hours and event locations.
- Ability to handle deadlines and provide timely reporting.
Senior Technology Engineer
Posted today
Job Viewed
Job Description
We are seeking an experienced Senior Data Engineer to lead the design, development, and optimization of large-scale data platforms across Azure, Google Cloud, and hybrid environments.
You will architect data pipelines that power AI-driven analytics, knowledge graphs, and agentic automation across enterprise and national-level projects.
The ideal candidate combines deep expertise in data architecture, orchestration, and cloud infrastructure with hands‑on experience using AI‑assisted development tools to accelerate delivery and ensure scalability, reliability, and intelligence in every layer of the data stack.
Key Responsibilities- Architect and lead the design of end‑to‑end data pipelines using Apache Airflow, Azure Data Factory, and Google Cloud Composer.
- Design and manage data lake, data warehouse, and OLAP architectures using MSSQL, SSIS, and SSAS.
- Build and optimize ETL/ELT frameworks integrating structured, semi‑structured, and unstructured data across APIs, databases, and streaming platforms.
- Implement and maintain graph and NoSQL databases (e.g., Neo4j, Cosmos DB, MongoDB, Elasticsearch) to support semantic analytics, search, and recommendation systems.
- Establish standards for data quality, lineage, governance, and observability.
- Collaborate with AI engineers, data scientists, and business analysts to enable retrieval‑augmented generation (RAG), knowledge graph, and agentic orchestration use cases.
- Drive multi‑cloud infrastructure automation through Terraform, Pulumi, or Bicep and CI/CD pipelines.
- Champion AI‑assisted coding practices (e.g., GitHub Copilot, ChatGPT, Cursor) to enhance productivity, testing, and documentation.
- Mentor junior engineers, review designs, and promote best practices in data architecture, DevOps, and AI‑native engineering.
- Contribute to strategic roadmap planning, including capacity scaling, cost optimization, and data-driven innovation initiatives.
- Bachelor’s or Master’s degree in Computer Science, Data Engineering, or related field.
- 5–10 years of progressive experience in data engineering, data architecture, or analytics infrastructure roles.
- Deep expertise in SQL/T‑SQL, performance optimization, and data modeling.
- Proven hands‑on experience with SSIS and SSAS, including cube design and deployment.
- Advanced proficiency with Airflow (custom DAGs, operators, sensors, and monitoring).
- Solid understanding of Azure (Data Factory, Synapse, Blob Storage, Functions) and Google Cloud (BigQuery, Cloud Storage, Pub/Sub) ecosystems.
- Strong Python development skills for ETL, automation, and API integration.
- Experience with Docker, Kubernetes, and CI/CD workflows for data services.
- Hands‑on experience with graph databases (Neo4j, Neptune, TigerGraph) and NoSQL stores (MongoDB, Cosmos DB, Elasticsearch, etc.).
- Demonstrated use of AI‑powered development tools (GitHub Copilot, ChatGPT, Replit Ghostwriter, Code Interpreter) in professional workflows.
- Knowledge of data security, governance, and compliance frameworks (GDPR, ISO 27001, NIST).
Our Commitment to Equal Opportunities: At Whiteshield, we are committed to providing equal opportunities in employment regardless of individual characteristics. We recognize that our employees feel appreciated when their thoughts and values are respected and considered. We’re committed to maintaining and driving an inclusive culture and workplace where all talents are nurtured and feel empowered to contribute.
Celebrating Achievements: At Whiteshield, we seek to reward those who demonstrate exceptional individual achievements above and beyond expectations in the pursuit of continuously seeking excellence for our clients. When individuals excel, we show our appreciation and celebrate achievements by generously recognizing and supporting the career progression of those who make unique contributions to the firm.
Empowering Our People: At Whiteshield, we recognize that our employees are the core to our success and believe that when our exceptional talent comes together, and wellbeing is a priority – innovation thrives. We are dedicated to promoting and encouraging a healthy work‑life balance and adopting a genuinely flexible working model to empower our employees to pursue a balance that suits their personal needs.
#J-18808-LjbffrTechnology Deployment Manager
Posted today
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Job Description
Lubrizol’s portfolio of engine lubricant products is designed to meet the needs of consumers, and the stringent performance demands of OEMs, Industry specifications, and lubricant suppliers around the world.The primary purpose of this role is to position Lubrizol Engine Lubricant Technology at the customer interface in partnership with our commercial team supporting Middle East and North Africa (MENA) Region.
This role provides technical support and manages product development projects for assigned customer and OEM accounts in the Passenger Car and commercial vehicles lubricant area. The successful candidate should have a proven track record of managing multiple technical projects, have strong interpersonal and communications skills, and work well in teams.
Build and maintain strong relationships with internal and external stakeholders to understand their technical expectations and use those learnings to develop project and product development plans consistent with stakeholder expectations.
Responsibilities / Accountabilities- Translate customer/OEM technical needs into technical plan then lead to implement that project plan in timely, cost-efficient manner.
- Optimize product platform and complete necessary testing to develop commercialized products for OEM’s and oil company customers.
- Develop and execute relevant project plans (scope, objectives, milestones, resources, and economics) and manage Projects to demonstrate proof of performance through bench testing, engine testing, and field testing.
- Provide ongoing technical support to customers, delivering strong problem-solving capabilities and addressing any support requests in a responsive and timely manner.
- Build and maintain customer/OEM relationship to deliver products that meet or exceed their expectations and business strategic plans.
- Work with sales and OEM group to develop customer relationships and communicate customer goals to internal stakeholders.
- Conducting product approval testing programs in accordance with industry guidelines that meet customer, OEM, and industry requirements.
- Effectively manage multiple technical activities simultaneously.
- Effectively communicate status reports on projects and customer activities to management and stakeholders through timely and comprehensive reporting and presentations.
- Represent Lubrizol’s interests by creating and delivering formal presentations at customers, industry meetings, and technical forums.
- Act as an integral member of the Engine Lubricants team, by developing excellent and effective working relationships with the commercial, technical and sales teams.
- Accurately collate, interpret, and present data. Develop solutions based on facts, data, and logical assumptions.
- Work with internal and external test laboratories to ensure sufficient resource allocation for business.
- Bachelor’s /master’s degree in chemistry, chemical engineering, mechanical engineering, or related field with 7-10 yrswork experience in engine oil lubricants and OEM applications.
- Effective project management experience, including project economics and general knowledge of statistics.
- Strong problem solving and analytical skills.
- Ability to work with technical support services and understand their inter-relationship and value to the commercial groups.
- Ability to work effectively in multifunctional, global teams.
- Experience of managing projects and effective prioritisation
- Experience of complex technical projects with analysis and interpretation of data from a variety of sources to solve problems.
- Strong interpersonal and communications skills
- Proficiency with Microsoft Office and familiarity with SharePoint.
- Ability to travel up to 30% of the time and to participate in global discussions as needed (evening meetings)
- Excellent English oral and written communication skills
- An advanced chemistry or engineering degree from an accredited university or college
- Familiarity with experimental design and statistical techniques.
- Customer Focus and Building Relationships
- Strategic/Innovative Thinking
- Evaluating Problems
- Result Orientation
- Driving Success
- Evaluating Problems
Job Segment: Information Technology, IT Manager, Chemical Research, Product Development, Chemical Engineer, Technology, Engineering, Research
#J-18808-LjbffrTechnology Engineer - Virtualization
Posted today
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Job Description
We are seeking a highly skilled Technology Engineer – Virtualization to join our team in Dubai. The ideal candidate will have strong expertise in virtualization technologies, system administration, and infrastructure management. You will play a key role in designing, implementing, and supporting virtualization solutions to ensure high availability, scalability, and performance of enterprise IT systems.
Key Responsibilities- Design, deploy, and manage virtualization platforms (VMware, Hyper-V, or similar).
- Perform capacity planning, performance monitoring, and tuning of virtual environments.
- Implement backup, recovery, and disaster recovery strategies for virtual infrastructure.
- Collaborate with cross-functional teams to ensure seamless integration of systems and applications.
- Provide technical support, troubleshoot complex issues, and perform root cause analysis.
- Ensure security compliance, patching, and updates across virtualization platforms.
- Document technical processes, system configurations, and operational procedures.
- Stay updated with emerging virtualization and cloud technologies to recommend improvements.
- Bachelor’s degree in Computer Science, Engineering, or a related field.
- 5–7 years of experience in IT infrastructure with a focus on virtualization technologies.
- Hands-on expertise in VMware vSphere, ESXi, vCenter , or Microsoft Hyper-V.
- Strong knowledge of server administration (Windows/Linux) and networking concepts.
- Experience with storage solutions (SAN/NAS) and integration with virtualization platforms.
- Familiarity with cloud platforms (Azure, AWS, GCP) is an advantage.
- Solid troubleshooting and problem-solving skills.
- Excellent communication and teamwork abilities.
- Relevant certifications (e.g., VMware VCP, Microsoft MCSE, or equivalent ) preferred.
- Competitive salary and benefits package.
- Opportunity to work on cutting-edge technology projects.
- Collaborative and growth-oriented work environment.
- Career development and training opportunities.
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Technology Engineer - Virtualization
Posted today
Job Viewed
Job Description
We are seeking a highly skilled Technology Engineer – Virtualization to join our team in Dubai. The ideal candidate will have strong expertise in virtualization technologies, system administration, and infrastructure management. You will play a key role in designing, implementing, and supporting virtualization solutions to ensure high availability, scalability, and performance of enterprise IT systems.
Key Responsibilities- Design, deploy, and manage virtualization platforms (VMware, Hyper-V, or similar).
- Perform capacity planning, performance monitoring, and tuning of virtual environments.
- Implement backup, recovery, and disaster recovery strategies for virtual infrastructure.
- Collaborate with cross-functional teams to ensure seamless integration of systems and applications.
- Provide technical support, troubleshoot complex issues, and perform root cause analysis.
- Ensure security compliance, patching, and updates across virtualization platforms.
- Document technical processes, system configurations, and operational procedures.
- Stay updated with emerging virtualization and cloud technologies to recommend improvements.
- Bachelor’s degree in Computer Science, Engineering, or a related field.
- 5–7 years of experience in IT infrastructure with a focus on virtualization technologies.
- Hands-on expertise in VMware vSphere, ESXi, vCenter , or Microsoft Hyper-V.
- Strong knowledge of server administration (Windows/Linux) and networking concepts.
- Experience with storage solutions (SAN/NAS) and integration with virtualization platforms.
- Familiarity with cloud platforms (Azure, AWS, GCP) is an advantage.
- Solid troubleshooting and problem-solving skills.
- Excellent communication and teamwork abilities.
- Relevant certifications (e.g., VMware VCP, Microsoft MCSE, or equivalent ) preferred.
- Competitive salary and benefits package.
- Opportunity to work on cutting-edge technology projects.
- Collaborative and growth-oriented work environment.
- Career development and training opportunities.
Technology Lead - GenAI
Posted today
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Job Description
Job Title: Technology Lead – AI/ML & GenAI
Experience: 12+ Years
Location: Abu Dhabi, UAE
Employment Type: Full-time
NorthBay Solutions is seeking an accomplished Technology Lead with a strong track record in Generative AI (GenAI), AI/ML, and enterprise architecture . This role is ideal for a senior professional who can design and deliver AI-powered enterprise solutions , lead multidisciplinary teams, and drive innovation across cloud, on-premises, and hybrid environments.
You will be the technical authority for GenAI-driven initiatives, ensuring successful delivery of scalable and production-ready AI/ML applications while aligning with enterprise business needs.
Note: This is a full-time onsite role based in Abu Dhabi, UAE. Candidates must be willing to relocate for long-term client engagements.
Core ResponsibilitiesArchitect and deliver end-to-end AI/ML and GenAI solutions integrating with existing enterprise systems.
Lead a team of 8–12 engineers across AI/ML, full-stack, and DevOps disciplines in Agile environments.
Drive technical decision-making across infrastructure, APIs, microservices, databases, and AI platforms.
Ensure successful deployment and scaling of AI solutions across on-premises, cloud, and hybrid architectures .
Act as a trusted advisor to business stakeholders, bridging technical depth with strategic vision.
Expert-level experience with LLMs (LLaMA, Mistral, GPT, etc.), including fine-tuning and deployment.
Strong hands-on work with Agentic AI , multi-agent systems , and RAG implementations .
Proficiency with vector databases , LangChain , LangGraph , and modern GenAI toolchains.
Expertise in advanced prompt engineering and Chain-of-Thought techniques .
Proven track record delivering 3+ production-grade GenAI applications .
Hands-on experience with Python, TensorFlow, and PyTorch for building production ML systems.
Full lifecycle management of ML models, from development to monitoring in production.
Seamless integration of AI/ML models into enterprise-grade applications and platforms.
Strong background in full-stack development (MERN stack or equivalent).
Deployment expertise across on-premises, cloud, and hybrid environments .
Advanced Kubernetes skills for orchestration and scaling.
Database expertise in SQL (PostgreSQL/MySQL) and NoSQL (MongoDB/DynamoDB) .
Proven ability to design and manage APIs and microservices (REST, GraphQL).
DevOps proficiency with Docker, CI/CD pipelines, and infrastructure automation .
Deep knowledge of AWS, Azure, or GCP with ML/AI services.
AWS expertise highly valued: SageMaker, Bedrock, Lambda, API Gateway .
Strong grasp of hybrid cloud architectures integrating AI/ML workloads.
7+ enterprise-scale projects successfully delivered in AI/ML and enterprise systems.
Demonstrated team leadership experience with measurable outcomes.
Strong focus on delivery excellence, scalability, and long-term maintainability.
(Preferred) Certifications in AWS/Azure/GCP (Solutions Architect, ML Specialty).
Excellent communication and stakeholder management skills.
Solid experience in Agile/Scrum leadership , driving productivity and team performance.
Priority expertise:
Generative AI Leadership
AI/ML Foundation
Enterprise Architecture & Hybrid Deployments
A strategic leader with hands-on depth, able to innovate, mentor, and deliver at scale.
Technology Lead - GenAI
Posted today
Job Viewed
Job Description
About the Role
NorthBay Solutions is seeking an accomplished Technology Lead with a strong track record in Generative AI (GenAI), AI/ML, and enterprise architecture . This role is ideal for a senior professional who can design and deliver AI-powered enterprise solutions , lead multidisciplinary teams, and drive innovation across cloud, on-premises, and hybrid environments.
You will be the technical authority for GenAI-driven initiatives, ensuring successful delivery of scalable and production-ready AI/ML applications while aligning with enterprise business needs.
Core ResponsibilitiesArchitect and deliver end-to-end AI/ML and GenAI solutions integrating with existing enterprise systems.
Lead a team of 8–12 engineers across AI/ML, full-stack, and DevOps disciplines in Agile environments.
Drive technical decision-making across infrastructure, APIs, microservices, databases, and AI platforms.
Ensure successful deployment and scaling of AI solutions across on-premises, cloud, and hybrid architectures .
Act as a trusted advisor to business stakeholders, bridging technical depth with strategic vision.
Expert-level experience with LLMs (LLaMA, Mistral, GPT, etc.), including fine-tuning and deployment.
Strong hands-on work with Agentic AI , multi-agent systems , and RAG implementations .
Proficiency with vector databases , LangChain , LangGraph , and modern GenAI toolchains.
Expertise in advanced prompt engineering and Chain-of-Thought techniques .
Proven track record delivering 3+ production-grade GenAI applications .
Hands-on experience with Python, TensorFlow, and PyTorch for building production ML systems.
Full lifecycle management of ML models, from development to monitoring in production.
Seamless integration of AI/ML models into enterprise-grade applications and platforms.
Strong background in full-stack development (MERN stack or equivalent).
Deployment expertise across on-premises, cloud, and hybrid environments .
Advanced Kubernetes skills for orchestration and scaling.
Database expertise in SQL (PostgreSQL/MySQL) and NoSQL (MongoDB/DynamoDB) .
Proven ability to design and manage APIs and microservices (REST, GraphQL).
DevOps proficiency with Docker, CI/CD pipelines, and infrastructure automation .
Deep knowledge of AWS, Azure, or GCP with ML/AI services.
AWS expertise highly valued: SageMaker, Bedrock, Lambda, API Gateway .
Strong grasp of hybrid cloud architectures integrating AI/ML workloads.
7+ enterprise-scale projects successfully delivered in AI/ML and enterprise systems.
Demonstrated team leadership experience with measurable outcomes.
Strong focus on delivery excellence, scalability, and long-term maintainability.
(Preferred) Certifications in AWS/Azure/GCP (Solutions Architect, ML Specialty).
Excellent communication and stakeholder management skills.
Solid experience in Agile/Scrum leadership , driving productivity and team performance.
Priority expertise:
Generative AI Leadership
AI/ML Foundation
Enterprise Architecture & Hybrid Deployments
A strategic leader with hands-on depth, able to innovate, mentor, and deliver at scale.