Mechanical Design Engineer Jobs in Qatar
3167 Jobs Found
Job Summary We are seeking an experienced Senior Java Developer to design, develop, and support enterprise-grade microservices for digital banking and enterprise applications. The ideal candidate will have strong expertise in Java 17/21, Spring Boot 3.x, RESTful APIs, Microservices Architecture, Oracle Database, CI/CD, and containerized deployments. The role involves end-to-end ownership of application components, including solution design, development, testing, deployment, production support, and performance optimization while working in Agile delivery teams. Key Responsibilities Software Design & Development Design, develop, and maintain enterprise-grade Java applications. Build scalable, secure, and high-performance microservices. Design RESTful APIs and service contracts. Implement business logic using Spring Boot 3.x. Develop reusable, maintainable, and production-ready code. Ensure coding standards and best practices are followed. Microservices Development Design microservice architecture. Define service boundaries. Develop inter-service communication mechanisms. Implement resilience, fault tolerance, and error handling. Develop API endpoints and service integrations. Implement observability, logging, and monitoring. Database Development Develop applications using Oracle Database. Design and optimize SQL queries. Implement data persistence using Spring Data JPA. Develop JPA Specifications. Perform SQL performance tuning. Optimize database access and transactions. API Development Design and develop REST APIs. Define API contracts. Integrate with internal and external systems. Support API versioning and lifecycle management. Ensure API security and performance. Testing & Quality Assurance Develop Unit Tests using JUnit 5. Write Mockito-based test cases. Develop Integration Tests. Achieve required code coverage. Perform defect analysis and bug fixing. Support User Acceptance Testing (UAT). CI/CD & Dev Ops Manage source code using Git. Support CI/CD pipelines. Build applications using Maven. Manage Maven multi-module projects. Deploy applications to:Kubernetes Open Shift Microsoft Azure Support automated deployments. Production Support Investigate production incidents. Debug application, integration, and database issues. Support release management. Perform root cause analysis. Ensure application stability and availability. Code Quality & Documentation Participate in peer code reviews. Maintain technical documentation. Document APIs and services. Ensure compliance with development standards. Maintain governed dependency management. Collaboration Work closely with:Solution Architects Business Analysts QA Engineers Dev Ops Engineers Product Owners Infrastructure Teams Participate in Agile ceremonies. Support sprint planning and backlog refinement. Education Bachelor's Degree in:Computer Science Information Technology Software Engineering Computer Engineering Or equivalent qualification Required Experience Minimum 9+ years of Java development experience. Strong hands-on experience with Java 17/21 (Java 25 exposure is an advantage). Experience building enterprise microservices. Experience in Agile software delivery. Experience supporting enterprise production environments.
Job Description<br><br>Must Have<br><br> 4+ years of software or machine-learning engineering experience, including hands-on experience deploying models to production. Demonstrated track record operationalizing models developed by data scientists into reliable, scalable, and observable production systems. Production experience with classical machine-learning workloads — distinct from generative-AI application development. Strong collaboration skills across data science, software engineering, and platform teams. Commitment to building reliable, well-engineered, and maintainable systems. <br><br>Nice to Have<br><br> Experience with feature stores and large-scale or streaming data pipelines. Knowledge of infrastructure-as-code (e.g., Terraform) and cloud cost optimization. Experience with workflow orchestration tools (e.g., Apache Airflow). Familiarity with model-serving frameworks and API design for inference. Light exposure to generative-AI or LLM deployment. Experience operating systems in a regulated or enterprise environment. Cloud or MLOps certifications. <br><br>Responsibilities<br><br> Build, deploy, and maintain production machine-learning pipelines, from data ingestion and feature processing through to model serving. Operationalize models developed by data scientists, ensuring reliability, scalability, reproducibility, and performance. Implement MLOps practices including CI/CD for machine learning, model versioning, automated retraining, and model registries. Design and maintain feature pipelines and, where relevant, feature stores. Set up monitoring and alerting for model performance, data drift, and system health, and respond to degradation. Optimize inference latency, throughput, and resource cost for deployed models. Containerize and orchestrate machine-learning workloads using Docker and Kubernetes on Oracle Cloud Infrastructure (OCI). Automate and harden data and model workflows to reduce manual intervention. Collaborate with data scientists on model handoff, packaging, and success metrics. Work with software engineers to integrate models into client-facing applications and services. Apply software-engineering best practices including testing, code review, and documentation to machine-learning systems. Troubleshoot and resolve production issues across the model-serving stack. <br><br>Qualifications<br><br> Bachelor's degree in Computer Science, Software Engineering, or a related field; equivalent experience accepted. Strong Python engineering skills and production experience with ML frameworks such as scikit-learn, Tensor Flow, or PyTorch. Hands-on experience with MLOps tooling (e.g., MLflow, Kubeflow) and CI/CD pipelines. Proficiency with containerization and orchestration (Docker, Kubernetes). Experience building and maintaining data pipelines and processing large datasets. Experience with cloud infrastructure, ideally Oracle Cloud Infrastructure (OCI) and OCI Data Science. Understanding of model monitoring, drift detection, and retraining strategies. Solid software-engineering fundamentals including testing and version control.
Job Description<br><br>Must Have<br><br> 4+ years of software or machine-learning engineering experience, including hands-on experience deploying models to production. Demonstrated track record operationalizing models developed by data scientists into reliable, scalable, and observable production systems. Production experience with classical machine-learning workloads — distinct from generative-AI application development. Strong collaboration skills across data science, software engineering, and platform teams. Commitment to building reliable, well-engineered, and maintainable systems. <br><br>Nice to Have<br><br> Experience with feature stores and large-scale or streaming data pipelines. Knowledge of infrastructure-as-code (e.g., Terraform) and cloud cost optimization. Experience with workflow orchestration tools (e.g., Apache Airflow). Familiarity with model-serving frameworks and API design for inference. Light exposure to generative-AI or LLM deployment. Experience operating systems in a regulated or enterprise environment. Cloud or MLOps certifications. <br><br>Responsibilities<br><br> Build, deploy, and maintain production machine-learning pipelines, from data ingestion and feature processing through to model serving. Operationalize models developed by data scientists, ensuring reliability, scalability, reproducibility, and performance. Implement MLOps practices including CI/CD for machine learning, model versioning, automated retraining, and model registries. Design and maintain feature pipelines and, where relevant, feature stores. Set up monitoring and alerting for model performance, data drift, and system health, and respond to degradation. Optimize inference latency, throughput, and resource cost for deployed models. Containerize and orchestrate machine-learning workloads using Docker and Kubernetes on Oracle Cloud Infrastructure (OCI). Automate and harden data and model workflows to reduce manual intervention. Collaborate with data scientists on model handoff, packaging, and success metrics. Work with software engineers to integrate models into client-facing applications and services. Apply software-engineering best practices including testing, code review, and documentation to machine-learning systems. Troubleshoot and resolve production issues across the model-serving stack. <br><br>Qualifications<br><br> Bachelor's degree in Computer Science, Software Engineering, or a related field; equivalent experience accepted. Strong Python engineering skills and production experience with ML frameworks such as scikit-learn, Tensor Flow, or PyTorch. Hands-on experience with MLOps tooling (e.g., MLflow, Kubeflow) and CI/CD pipelines. Proficiency with containerization and orchestration (Docker, Kubernetes). Experience building and maintaining data pipelines and processing large datasets. Experience with cloud infrastructure, ideally Oracle Cloud Infrastructure (OCI) and OCI Data Science. Understanding of model monitoring, drift detection, and retraining strategies. Solid software-engineering fundamentals including testing and version control.
Job Description<br><br>Must Have<br><br> 4+ years of software or machine-learning engineering experience, including hands-on experience deploying models to production. Demonstrated track record operationalizing models developed by data scientists into reliable, scalable, and observable production systems. Production experience with classical machine-learning workloads — distinct from generative-AI application development. Strong collaboration skills across data science, software engineering, and platform teams. Commitment to building reliable, well-engineered, and maintainable systems. <br><br>Nice to Have<br><br> Experience with feature stores and large-scale or streaming data pipelines. Knowledge of infrastructure-as-code (e.g., Terraform) and cloud cost optimization. Experience with workflow orchestration tools (e.g., Apache Airflow). Familiarity with model-serving frameworks and API design for inference. Light exposure to generative-AI or LLM deployment. Experience operating systems in a regulated or enterprise environment. Cloud or MLOps certifications. <br><br>Responsibilities<br><br> Build, deploy, and maintain production machine-learning pipelines, from data ingestion and feature processing through to model serving. Operationalize models developed by data scientists, ensuring reliability, scalability, reproducibility, and performance. Implement MLOps practices including CI/CD for machine learning, model versioning, automated retraining, and model registries. Design and maintain feature pipelines and, where relevant, feature stores. Set up monitoring and alerting for model performance, data drift, and system health, and respond to degradation. Optimize inference latency, throughput, and resource cost for deployed models. Containerize and orchestrate machine-learning workloads using Docker and Kubernetes on Oracle Cloud Infrastructure (OCI). Automate and harden data and model workflows to reduce manual intervention. Collaborate with data scientists on model handoff, packaging, and success metrics. Work with software engineers to integrate models into client-facing applications and services. Apply software-engineering best practices including testing, code review, and documentation to machine-learning systems. Troubleshoot and resolve production issues across the model-serving stack. <br><br>Qualifications<br><br> Bachelor's degree in Computer Science, Software Engineering, or a related field; equivalent experience accepted. Strong Python engineering skills and production experience with ML frameworks such as scikit-learn, Tensor Flow, or PyTorch. Hands-on experience with MLOps tooling (e.g., MLflow, Kubeflow) and CI/CD pipelines. Proficiency with containerization and orchestration (Docker, Kubernetes). Experience building and maintaining data pipelines and processing large datasets. Experience with cloud infrastructure, ideally Oracle Cloud Infrastructure (OCI) and OCI Data Science. Understanding of model monitoring, drift detection, and retraining strategies. Solid software-engineering fundamentals including testing and version control.
Job Purpose:Participate in 24x7 operations support, including being part of an on-call rotation to promptly attend to incidents reported.<br>Qualifications And Experience:Bachelor’s degree in Electronics & communication / Telecommunications or computer science or Equivalent degree with relevant No of years and experience. Minimum 3-4 years of experience in IP Telephony / UC Platform / IP-CC / TP / conferencing. Understanding for Network Design / Call routing / PRI / BRI. Understanding for Telecom Environment & Connectivity & Call flows. Basic understanding for IP -Networking. Understanding for Design, Coding, call routing, and ICM script Implementation, Technologies of IPCC and IP –Telephony. Understanding for ICM Scripting & Call manager Voice Gateway Configuration.<br>Skillset:SQL Server CVPQuality Management and Call Recording in contact Center. Interpersonal skills Team orientation Communication skills Technology understanding capability Project and staff management
Job Purpose:Participate in 24x7 operations support, including being part of an on-call rotation to promptly attend to incidents reported.<br>Qualifications And Experience:Bachelor’s degree in Electronics & communication / Telecommunications or computer science or Equivalent degree with relevant No of years and experience. Minimum 3-4 years of experience in IP Telephony / UC Platform / IP-CC / TP / conferencing. Understanding for Network Design / Call routing / PRI / BRI. Understanding for Telecom Environment & Connectivity & Call flows. Basic understanding for IP -Networking. Understanding for Design, Coding, call routing, and ICM script Implementation, Technologies of IPCC and IP –Telephony. Understanding for ICM Scripting & Call manager Voice Gateway Configuration.<br>Skillset:SQL Server CVPQuality Management and Call Recording in contact Center. Interpersonal skills Team orientation Communication skills Technology understanding capability Project and staff management
Job description:<br><br> Job Purpose Provide a variety of Machinery Control Engineering support to contribute to department objectives in meeting Company strategy. Perform as Subject Matter Expert and as Technical Authority in Machinery control area. Key Job Accountabilities Provide a variety of machinery control system engineering support to contribute to the division strategy and goals. That includes design reviews, studies, failure analysis and advanced troubleshooting. Define and document surveillance and administration programs for critical Control Systems to achieve high standards of reliability, availability, and cyber security. Define and document best practices within the area of expertise and recommend performance improvement initiatives. Act as Subject Matter Expert and/or as Technical Authority in area of specialization. Manage plans and work schedules to ensure effective completion of tasks and activities, meeting the section and division KPIs. Provide technical input related to area of expertise to other disciplines and functions as per requirements to support their business objectives. Control and supervise the activities undertaken by contractors, consultants, and service providers. Guide less experienced engineers in implementing the company integrity and reliability systems. Define Competency development plan and mentor National Developees to develop their capabilities and their knowledge. Qualifications Bachelor’s degree in Engineering. Knowledge and Experience 10 years’ experience in an oil and gas environment. Experience in Turbo Machinery control Applications such as from GE, CCC or Triconex. Knowledgeable of relevant international standards such as IEC, ANSI/ISA and API RP and their application is necessary. Fluent in English language (demonstrated verbal and written skills). Computer literate, and competent with a variety of engineering software tools.
Job description:<br><br> Job Purpose Provide a variety of Machinery Control Engineering support to contribute to department objectives in meeting Company strategy. Perform as Subject Matter Expert and as Technical Authority in Machinery control area. Key Job Accountabilities Provide a variety of machinery control system engineering support to contribute to the division strategy and goals. That includes design reviews, studies, failure analysis and advanced troubleshooting. Define and document surveillance and administration programs for critical Control Systems to achieve high standards of reliability, availability, and cyber security. Define and document best practices within the area of expertise and recommend performance improvement initiatives. Act as Subject Matter Expert and/or as Technical Authority in area of specialization. Manage plans and work schedules to ensure effective completion of tasks and activities, meeting the section and division KPIs. Provide technical input related to area of expertise to other disciplines and functions as per requirements to support their business objectives. Control and supervise the activities undertaken by contractors, consultants, and service providers. Guide less experienced engineers in implementing the company integrity and reliability systems. Define Competency development plan and mentor National Developees to develop their capabilities and their knowledge. Qualifications Bachelor’s degree in Engineering. Knowledge and Experience 10 years’ experience in an oil and gas environment. Experience in Turbo Machinery control Applications such as from GE, CCC or Triconex. Knowledgeable of relevant international standards such as IEC, ANSI/ISA and API RP and their application is necessary. Fluent in English language (demonstrated verbal and written skills). Computer literate, and competent with a variety of engineering software tools.
Role: Government Innovation Expert Experience: 12–15+ years Location: Qatar / GCC preferred<br>Job Summary:Lead government innovation, institutional transformation, digital transformation, and government service improvement initiatives. The role focuses on developing operating models, re-engineering business processes, conducting transformation studies, improving citizen/user experience, driving innovation workshops, and measuring organizational performance.<br>Main Skills to Focus OnGovernment Innovation & Institutional Transformation Strategic Planning & Transformation Government Service Improvement Digital Transformation Business Process Re-engineering (BPR) Operating Model Design Process Improvement & Operational Excellence Innovation Strategy & Management Design Thinking & Service Design Gap Analysis & Transformation Studies Performance Management & KPI Development Stakeholder & Government Entity Management Innovation Workshops & Facilitation Executive Reporting & Presentations Change Management Knowledge Transfer & Innovation Culture Best Practices / Benchmarking Institutional Governance Preferred Certifications Innovation Management Design Thinking Lean Six Sigma PMP / Agile Digital Transformation / Change Management MBA / Master's in Innovation or Strategic Management
Primary Purpose Of The Job<br><br>Perform comprehensive Project Planning / Scheduling, Progress monitoring / reporting and<br><br>Time Management functions. Prepare Cost Estimates / Budgets, Cost Forecast / Cost<br><br>Reports. Report monthly Value of Work Done (VOWD), Monthly Invoice Payment / Accruals<br><br>and highlight areas of concern for management consideration and action.<br><br>Required Experience And Skills<br><br>1- Expert knowledge in Planning, Scheduling and Cost Engineering activities including<br><br>Schedule preparation and Cost estimation at various phases of the Project.<br><br>2- Should be a great team player.<br><br>3- Should be proficient in spoken & written English.<br><br>4-Able to read / understand engineering drawings / work packs, well developed analytical<br><br>skills and very good knowledge of internationally acceptable norms.<br><br>5-Good computer skills and proficient user of PRIMAVERA (P6) / MS PROJECT<br><br>planning software, Excel, Power Point etc.<br><br>Educational Qualifications<br><br>Bachelor Degree in an Engineering Discipline, minimum of 10 years of experience in<br><br>Cost Engineering and Project Management in the Oil and Gas Industries and offshore<br><br>Projects.
Primary Purpose Of The Job<br><br>Perform comprehensive Project Planning / Scheduling, Progress monitoring / reporting and<br><br>Time Management functions. Prepare Cost Estimates / Budgets, Cost Forecast / Cost<br><br>Reports. Report monthly Value of Work Done (VOWD), Monthly Invoice Payment / Accruals<br><br>and highlight areas of concern for management consideration and action.<br><br>Required Experience And Skills<br><br>1- Expert knowledge in Planning, Scheduling and Cost Engineering activities including<br><br>Schedule preparation and Cost estimation at various phases of the Project.<br><br>2- Should be a great team player.<br><br>3- Should be proficient in spoken & written English.<br><br>4-Able to read / understand engineering drawings / work packs, well developed analytical<br><br>skills and very good knowledge of internationally acceptable norms.<br><br>5-Good computer skills and proficient user of PRIMAVERA (P6) / MS PROJECT<br><br>planning software, Excel, Power Point etc.<br><br>Educational Qualifications<br><br>Bachelor Degree in an Engineering Discipline, minimum of 10 years of experience in<br><br>Cost Engineering and Project Management in the Oil and Gas Industries and offshore<br><br>Projects.
Primary Purpose Of The Job<br><br>Perform comprehensive Project Planning / Scheduling, Progress monitoring / reporting and<br><br>Time Management functions. Prepare Cost Estimates / Budgets, Cost Forecast / Cost<br><br>Reports. Report monthly Value of Work Done (VOWD), Monthly Invoice Payment / Accruals<br><br>and highlight areas of concern for management consideration and action.<br><br>Required Experience And Skills<br><br>1- Expert knowledge in Planning, Scheduling and Cost Engineering activities including<br><br>Schedule preparation and Cost estimation at various phases of the Project.<br><br>2- Should be a great team player.<br><br>3- Should be proficient in spoken & written English.<br><br>4-Able to read / understand engineering drawings / work packs, well developed analytical<br><br>skills and very good knowledge of internationally acceptable norms.<br><br>5-Good computer skills and proficient user of PRIMAVERA (P6) / MS PROJECT<br><br>planning software, Excel, Power Point etc.<br><br>Educational Qualifications<br><br>Bachelor Degree in an Engineering Discipline, minimum of 10 years of experience in<br><br>Cost Engineering and Project Management in the Oil and Gas Industries and offshore<br><br>Projects.
Primary Purpose Of The Job<br><br>Perform comprehensive Project Planning / Scheduling, Progress monitoring / reporting and<br><br>Time Management functions. Prepare Cost Estimates / Budgets, Cost Forecast / Cost<br><br>Reports. Report monthly Value of Work Done (VOWD), Monthly Invoice Payment / Accruals<br><br>and highlight areas of concern for management consideration and action.<br><br>Required Experience And Skills<br><br>1- Expert knowledge in Planning, Scheduling and Cost Engineering activities including<br><br>Schedule preparation and Cost estimation at various phases of the Project.<br><br>2- Should be a great team player.<br><br>3- Should be proficient in spoken & written English.<br><br>4-Able to read / understand engineering drawings / work packs, well developed analytical<br><br>skills and very good knowledge of internationally acceptable norms.<br><br>5-Good computer skills and proficient user of PRIMAVERA (P6) / MS PROJECT<br><br>planning software, Excel, Power Point etc.<br><br>Educational Qualifications<br><br>Bachelor Degree in an Engineering Discipline, minimum of 10 years of experience in<br><br>Cost Engineering and Project Management in the Oil and Gas Industries and offshore<br><br>Projects.
Primary Purpose Of The Job<br><br>Perform comprehensive Project Planning / Scheduling, Progress monitoring / reporting and<br><br>Time Management functions. Prepare Cost Estimates / Budgets, Cost Forecast / Cost<br><br>Reports. Report monthly Value of Work Done (VOWD), Monthly Invoice Payment / Accruals<br><br>and highlight areas of concern for management consideration and action.<br><br>Required Experience And Skills<br><br>1- Expert knowledge in Planning, Scheduling and Cost Engineering activities including<br><br>Schedule preparation and Cost estimation at various phases of the Project.<br><br>2- Should be a great team player.<br><br>3- Should be proficient in spoken & written English.<br><br>4-Able to read / understand engineering drawings / work packs, well developed analytical<br><br>skills and very good knowledge of internationally acceptable norms.<br><br>5-Good computer skills and proficient user of PRIMAVERA (P6) / MS PROJECT<br><br>planning software, Excel, Power Point etc.<br><br>Educational Qualifications<br><br>Bachelor Degree in an Engineering Discipline, minimum of 10 years of experience in<br><br>Cost Engineering and Project Management in the Oil and Gas Industries and offshore<br><br>Projects.
Primary Purpose Of The Job<br><br>Perform comprehensive Project Planning / Scheduling, Progress monitoring / reporting and<br><br>Time Management functions. Prepare Cost Estimates / Budgets, Cost Forecast / Cost<br><br>Reports. Report monthly Value of Work Done (VOWD), Monthly Invoice Payment / Accruals<br><br>and highlight areas of concern for management consideration and action.<br><br>Required Experience And Skills<br><br>1- Expert knowledge in Planning, Scheduling and Cost Engineering activities including<br><br>Schedule preparation and Cost estimation at various phases of the Project.<br><br>2- Should be a great team player.<br><br>3- Should be proficient in spoken & written English.<br><br>4-Able to read / understand engineering drawings / work packs, well developed analytical<br><br>skills and very good knowledge of internationally acceptable norms.<br><br>5-Good computer skills and proficient user of PRIMAVERA (P6) / MS PROJECT<br><br>planning software, Excel, Power Point etc.<br><br>Educational Qualifications<br><br>Bachelor Degree in an Engineering Discipline, minimum of 10 years of experience in<br><br>Cost Engineering and Project Management in the Oil and Gas Industries and offshore<br><br>Projects.
Primary Purpose Of The Job<br><br>Manage the review, approval, and issuance of e CPW/PTW for Asset operator’s users, tenants, and contractors, to ensure all the activities performed in the Industrial City boundary area are in line with Qatar Energy/ Industrial Cities Guidelines, Regulations and Procedures.<br><br>Develop and supervise inspection program, methodologies and schedules to ensure that all activities/projects related to Asset operator’s, tenants and contractors etc. in RLIC/MIC/DCA are in compliance with requirements and conditions as specified in applicable permits and procedures which are in compliance with Qatar Energy regulations.<br><br>Required Experience And Skills<br><br>10 years total experience with at least five years in oil and gas.<br><br> Working knowledge of discipline activities such as construction, testing, commissioning, and understanding of engineering principles. In depth working knowledge of engineering and HSE codes and standards. Ability to read engineering drawings.<br><br>Educational Qualifications<br><br>Bachelor of Science in Engineering in any discipline
Primary Purpose Of The Job<br><br>Manage the review, approval, and issuance of e CPW/PTW for Asset operator’s users, tenants, and contractors, to ensure all the activities performed in the Industrial City boundary area are in line with Qatar Energy/ Industrial Cities Guidelines, Regulations and Procedures.<br><br>Develop and supervise inspection program, methodologies and schedules to ensure that all activities/projects related to Asset operator’s, tenants and contractors etc. in RLIC/MIC/DCA are in compliance with requirements and conditions as specified in applicable permits and procedures which are in compliance with Qatar Energy regulations.<br><br>Required Experience And Skills<br><br>10 years total experience with at least five years in oil and gas.<br><br> Working knowledge of discipline activities such as construction, testing, commissioning, and understanding of engineering principles. In depth working knowledge of engineering and HSE codes and standards. Ability to read engineering drawings.<br><br>Educational Qualifications<br><br>Bachelor of Science in Engineering in any discipline
Primary Purpose Of The Job<br><br>Manage the review, approval, and issuance of e CPW/PTW for Asset operator’s users, tenants, and contractors, to ensure all the activities performed in the Industrial City boundary area are in line with Qatar Energy/ Industrial Cities Guidelines, Regulations and Procedures.<br><br>Develop and supervise inspection program, methodologies and schedules to ensure that all activities/projects related to Asset operator’s, tenants and contractors etc. in RLIC/MIC/DCA are in compliance with requirements and conditions as specified in applicable permits and procedures which are in compliance with Qatar Energy regulations.<br><br>Required Experience And Skills<br><br>10 years total experience with at least five years in oil and gas.<br><br> Working knowledge of discipline activities such as construction, testing, commissioning, and understanding of engineering principles. In depth working knowledge of engineering and HSE codes and standards. Ability to read engineering drawings.<br><br>Educational Qualifications<br><br>Bachelor of Science in Engineering in any discipline
ROLES & RESPONSIBILITIES:Provide L2 technical support for AI applications (chatbots, assistants, automation tools) Work with external vendors and agencies to implement and integrate AI solutions Troubleshoot production issues with LLM APIs, data pipelines, and application performance Customize and configure vendor-delivered AI solutions to requirements Build integrations between AI applications and enterprise systems Review and validate code/solutions delivered by external agencies Maintain technical documentation and runbooks Monitor application performance and implement fixes Handle API configuration, authentication, and access management.<br>SKILLS & COMPETENCIES:5+ years full stack development experience Strong Python backend skills (Fast API, Flask, or Django) Frontend development experience (React, Vue, or Angular) Experience working with external vendors and technical teams REST API integration and troubleshooting Azure services experience (App Services, Functions, API Management)<br>PREFERRED SKILLS:Experience with LLM APIs (Open AI, Azure Open AI, Anthropic) Knowledge of RAG patterns and vector databases Experience reviewing and validating third-party code Understanding of enterprise integration patterns
Job Vacancy for Senior Valve Sales Team Lead with minimum 5 years of Oil & Gas Experience preferably in Doha, Qatar (Middle East is also acceptable)<br>Role Description: Develop and execute sales plans to hit revenue and profit targets within assigned territories or sectors like oil and gas, petrochemicals, and water treatment. Generate leads, nurture relationships with key clients, EPC (Engineering, Procurement, Construction) contractors, and consultants, and negotiate high-value contracts. Assist clients and channel partners with proper product selection, valve specifications, and complex technical or commercial proposals. Handle project documentation and orderly execution of work.<br>Qualifications:4-5 years of experience in the oil and gas industry in Qatar Bachelor's degree in mechanical engineering and any advanced certifications in valve engineering or piping design are an advantage<br>Send resumes to facility00974@gmail.com or apply directly through Linked In.