python engineer

Hitachi Energy

<div>
 Join our Grid Quality team as a
 
 Power System Simulation Model Engineer
 
 and help shape the future of sustainable energy. Work on cutting-edge solutions that strengthen grids, enable renewable integration, and accelerate the energy transition&mdash;perfect for fresh graduates in Electrical, Power, or Energy Engineering.
 
 
 
 How You&rsquo;ll Make An Impact
 
 
 
 <ul>
 <li>
 Develop, implement, validate, and deliver simulation models to our customers in tenders and projects using various power system tools to support grid optimization and renewable integration
 </li>
 <li>
 Collaborate with cross-functional teams, including our R&amp;D, and customers, to gather requirements to support the design of effective technical solutions
 </li>
 <li>
 Create software in the loop model of real-time control functions
 </li>
 <li>
 Perform testing and validation of power system models and associated tools
 </li>
 <li>
 Perform RMS simulation studies with customer networks
 </li>
 <li>
 Prepare clear and structured technical documentation and reports
 </li>
 <li>
 Stay updated on industry trends, tools, and best practices in power system modeling
 </li>
 <li>
 Contribute to knowledge sharing by supporting, training, and collaborating with colleagues throughout project execution
 
 
 </li>
 </ul>
 
 Your Background
 
 
 
 <ul>
 <li>
 M.Sc. or Ph.D. in Electrical Engineering or a related field, with at least three years of experience in power system analysis
 </li>
 <li>
 Knowledge of, or experience with, simulation tools such as RTDS, PSCAD, PSS&reg;E, DIgSILENT PowerFactory, MATLAB, EMTP, or Python
 </li>
 <li>
 Interest in or experience with programming (e.g., C++, C#, FROTRAN, DSL, Python, MATLAB, ), control theory, signal processing, and dynamic modelling
 </li>
 <li>
 Strong communication and collaboration skills
 </li>
 <li>
 Ability to work independently, take initiative, and solve complex problems
 </li>
 <li>
 Proficiency in English is required; knowledge of Swedish is considered an advantage
 
 
 </li>
 </ul>
 Publication date : 2026-07-02
</div>

Power System Simulation Model Engineer

Trivto

<div>
 
 DevOps Engineer
 
 
 
 
 
 
 Location:
 
 Dubai, UAE
 
 
 
 Hiring Process
 
 : AI Interview -&gt; Home Assignment -&gt; Technical Interview -&gt; COO Interview
 
 
 
 Reports to:
 
 VP R&amp;D
 
 
 
 Department:
 
 Development
 
 
 About the Role
 
 
 We seek an experienced Senior DevOps Engineer to join our team and lead our infrastructure automation efforts. The ideal candidate will bridge the gap between development and operations, implementing robust CI/CD pipelines and maintaining our cloud-native microservices architecture.
 
 
 Responsibilities
 
 
 ●&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Design, implement, and maintain CI/CD pipelines to enable frequent and reliable software releases
 
 
 ●&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Build and manage containerized applications using Docker and orchestrate them with Kubernetes
 
 
 ●&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Architect and maintain cloud infrastructure on AWS following best practices and security standards
 
 
 ●&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Implement GitOps principles using Argo CD for Kubernetes deployments
 
 
 ●&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Establish monitoring, alerting, and logging solutions to ensure system reliability
 
 
 ●&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Support and optimize our microservices architecture, ensuring scalability and resilience
 
 
 ●&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Collaborate with development teams to improve deployment workflows and application performance
 
 
 ●&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Implement infrastructure as code practices using tools like Terraform
 
 
 ●&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Conduct security assessments and implement security best practices across the infrastructure
 
 
 Required Skills &amp; Qualifications
 
 
 ●&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;6-7+ years of experience in DevOps, SRE, or similar roles
 
 
 ●&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Proficiency with container technologies, specifically Docker and Kubernetes
 
 
 ●&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;In-depth knowledge of AWS services and architecture patterns
 
 
 ●&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Experience implementing and managing Argo CD for GitOps workflows
 
 
 ●&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Strong understanding of security best practices for cloud infrastructure
 
 
 ●&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Experience designing, implementing, and maintaining microservices architectures
 
 
 ●&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Knowledge of service discovery, API gateways, and inter-service communication patterns
 
 
 ●&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Excellent scripting skills (Python, Bash, etc.)
 
 
 ●&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Experience with infrastructure as code tools ( Terraform )
 
 
 ●&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Strong problem-solving skills and the ability to troubleshoot complex systems
 
 
 ●&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Excellent communication skills, proactive,&nbsp;team player
 
 
 &nbsp;
 
</div>

DevOps Engineer

Tata Consultancy Services

<div>
 
 
 Job Title
 
 &ndash; AI Engineer
 
 
 
 Company
 
 &ndash; TCS (MEA)
 
 
 
 Location
 
 &ndash; Dubai
 
 
 
 Job type
 
 &ndash; Full time
 
 
 
 
 
 
 About Us:
 
 
 
 Tata Consultancy Services (TCS) is an IT services, consulting and business solutions organization that has been partnering with many of the world&rsquo;s largest businesses in their transformation journeys for over 50 years. TCS offers a consulting-led, cognitive powered, integrated portfolio of business, technology and engineering services and solutions. This is delivered through its unique Location Independent Agile&trade; delivery model, recognized as a benchmark of excellence in software development.
 
 
 A part of the Tata group, India's largest multinational business group, TCS has over 616,171 of the world&rsquo;s best-trained consultants with 157 nationalities in 53 countries. For more information, visit www.tcs.com and follow TCS news at @TCS_News.
 
 
 
 
 
 
 
 Job Description:
 
 
 
 
 
 
 
 
 Key Accountabilities:
 
 
 <ul>
 <li>
 
 AI Solution Design &amp; Development:
 
 </li>
 <li>
 Design, build, and deploy AI-powered applications using Azure AI Services, including Azure OpenAI Service, Azure Machine Learning, Azure Cognitive Services (Speech, Vision, Language), Azure AI Search, Azure Functions, and Azure Databricks.
 </li>
 <li>
 
 LLM Integration &amp; Generative AI:
 
 </li>
 <li>
 Develop and integrate Large Language Model (LLM) solutions using Azure OpenAI endpoints (GPT-4.1, GPT-4o, GPT-4o-mini) routed through FAB's centralized AI Hub gateway for governance, observability, and capacity management. Build enterprise use cases such as knowledge search, document intelligence, content summarization, call analytics, sentiment analysis, and workflow automation.
 </li>
 <li>
 
 Python Engineering &amp; Backend Development:
 
 </li>
 <li>
 Write clean, modular, and production-grade Python code for AI/ML model development, API integrations, data processing pipelines, backend services, and automation workflows using frameworks such as LangChain, LlamaIndex, Semantic Kernel, LangGraph, and FastAPI.
 </li>
 <li>
 
 RAG &amp; Semantic Retrieval:
 
 </li>
 <li>
 Implement Retrieval-Augmented Generation (RAG) pipelines, embeddings, vector search, semantic retrieval architectures, prompt engineering, and evaluation techniques for enterprise knowledge mining and document intelligence.
 </li>
 <li>
 
 Agentic AI Development:
 
 </li>
 <li>
 Design and develop intelligent agentic AI systems capable of planning, reasoning, tool execution, and orchestration across enterprise systems using FAB's GERNAS OS platform and Agent Development Kit (ADK) in a secure and governed manner.
 </li>
 <li>
 
 Model Evaluation &amp; Responsible AI:
 
 </li>
 <li>
 Implement model evaluation metrics for accuracy, hallucination detection, bias, latency, and throughput in alignment with FAB's Responsible AI framework. Ensure AI solutions comply with FAB's security, data privacy, model governance, and regulatory requirements, including controls for accuracy, hallucination, bias, latency, and resilience.
 </li>
 <li>
 
 Deployment &amp; Production Operations:
 
 </li>
 <li>
 Deploy, monitor, and optimize AI solutions in production environments using CI/CD practices, containerization, observability, logging, performance monitoring, and cost optimization techniques.
 </li>
 <li>
 
 Collaboration &amp; Stakeholder Engagement:
 
 </li>
 <li>
 Collaborate with data scientists, platform engineers, DevOps/MLOps engineers, business analysts, and product teams to convert business requirements into scalable AI solutions.
 </li>
 <li>
 
 Innovation &amp; Continuous Learning:
 
 </li>
 <li>
 Continuously evaluate emerging Azure AI, Generative AI, and Agentic AI capabilities and recommend practical adoption opportunities aligned with FAB's AI strategy. Stay abreast of state-of-the-art developments in generative AI and agentic architectures.
 </li>
 </ul>
 
 
 
 
 
 TECHNICAL SKILLS: minimum 3-4 yrs of working experience mandatory
 
 
 
 
 Azure AI Services:
 
 Demonstrated working experience with Microsoft Azure AI Services including Azure OpenAI, Azure Machine Learning, Azure Cognitive Services, Azure AI Search, Azure Functions, and Azure Databricks.
 
 
 
 Python Programming:
 
 Strong proficiency in Python programming, including experience with REST APIs, SDKs, asynchronous processing, data manipulation, backend development, and AI application frameworks (LangChain, LlamaIndex, Semantic Kernel, LangGraph, FastAPI).
 
 
 
 LLM &amp; Generative AI:
 
 Deep understanding of machine learning, statistical modeling, NLP, generative AI principles, LLM application development, prompt engineering, RAG architecture, embeddings, vector databases, semantic search, and model evaluation techniques.
 
 
 
 ML Libraries &amp; Frameworks:
 
 Advanced proficiency in ML libraries such as PyTorch, TensorFlow, Hugging Face Transformers, scikit-learn, and NLP libraries (spaCy, NLTK).
 
 
 
 Vector Databases:
 
 Experience with vector databases including FAISS, Azure AI Search, ChromaDB, and Pinecone.
 
 
 
 DevOps/MLOps:
 
 Hands-on experience with DevOps/MLOps practices and tools such as Git, Docker, Kubernetes, CI/CD pipelines, MLflow, Terraform, Azure Monitor, and Application Insights.
 
 
 
 Cloud Security &amp; Integration:
 
 Understanding of cloud security, identity and access management, data privacy, encryption, logging, monitoring, and secure API integration patterns.
 
 
 
 AI Ethics &amp; Governance:
 
 Awareness of ethical considerations and responsible AI practices, including fairness, accountability, transparency, bias detection, hallucination mitigation, and compliance in AI systems.
 
 
 
 
 
 
 KNOWLEDGE, SKILLS, &amp; EXPERIENCE
 
 
 
 
 
 Minimum Qualifications:
 
 
 
 
 Bachelor's degree in Computer Science, Engineering, Artificial Intelligence, Data Science, Mathematics, Statistics, or related field; Master's degree is preferred. Microsoft Certified: Azure AI Engineer Associate (AI-102) certification is highly preferred.
 
 
 
 
 Minimum Experience:
 
 
 
 
 3+ years of hands-on experience in designing, developing, and deploying AI/ML or Generative AI solutions in production environments.
 
 
 Mandatory hands-on experience with Microsoft Azure AI Services.
 
 
 Experience working with large-scale datasets and real-time enterprise data.
 
 
 Experience in financial services, banking, risk, compliance, customer service, or regulated enterprise environments is an advantage.
 
 
 
 
 Knowledge and Skills:
 
 
 
 
 
 Business Understanding:
 
 
 
 Strong understanding of business processes and the ability to identify opportunities for AI-driven optimization and automation across banking domains.
 
 
 
 Analytical &amp; Problem-Solving:
 
 
 
 Excellent analytical, problem-solving, debugging, and performance optimization skills with the ability to troubleshoot AI applications in production and translate complex business problems into AI solutions.
 
 
 
 Communication Skills:
 
 
 
 Strong verbal and written communication skills, capable of explaining complex AI concepts to both technical and non-technical stakeholders.
 
 
 
 Collaboration:
 
 
 
 Proven ability to work effectively in cross-functional teams, collaborating with data scientists, platform engineers, DevOps engineers, business analysts, and product teams.
 
 
 
 Responsible AI Mindset:
 
 
 
 Understanding of AI governance, model risk, data privacy, security, and compliance requirements in a regulated banking environment.
 
 
 
 Production Engineering:
 
 
 
 Ability to build, deploy, monitor, and optimize production-grade AI systems with attention to reliability, scalability, cost, and operational excellence.
 
 
 
 Adaptability &amp; Learning:
 
 
 
 Willingness to stay updated on the latest AI technologies, agentic frameworks, and cloud services, and the ability to apply them to solve evolving business challenges.
 
 
 Thank you for your interest in applying for this position with TCS. We will review your application and will get back to you if we are considering your interest in this opportunity.
 
 
 
 
 
 
 Application Deadline: 30- July -2026
 
 
 
 
 
 
 
 Privacy Note:
 
 
 
 https://www.tcs.com/connect-with-tcs/privacy-policy
 
</div>

AI Engineer

Dezzex

Who we are?Dezzex uses Artificial Intelligence and Machine Learning technologies to advance the motor insurance industry by creating a system to automate claims. We use these technologies to improve insurance processes, reduce operational costs and enable a seamless customer experience. Our solution offering is also designed for the insurance companies, Insurance companies, Smart cities application.For applying as a Sr. Machine Learning Engineer, the person should have overall 7-8 years of experience out of which 4-5 years of experience should be in Machine &amp; Deep Machine learning. Especially using Convolution Neural Network (CNN), Image Analytics TensorFlow, Open CV etc.For applying as just a data scientist (Junior), the person needs to have experience of 3 - 9 years.With our fast-growing data scientist's team, we are looking to hire self-motivated smart individuals who are willing to take challenges in the field of Al image &amp; video analytics &amp; machine learning.Responsibilities:The Machine &amp; Deep Machine Learning Software Engineer (Expertise in Computer Vision) will be an early member of a growing team with responsibilities for designing and developing highly scalable machine learning solutions that impact many areas of our business.The individual in this role will help in the design and development of Neural Network (especially Convolution Neural Networks) &amp; ML solutions based on our reference architecture which is underpinned by big data &amp; cloud technology, micro-service architecture and high performing compute infrastructure.Typical daily activities include contributing to all phases of algorithm development including ideation, prototyping, design, and development production implementation.Required Skills:An ideal candidate will have background in software engineering and data science with expertise in machine learning algorithms, statistical analysis tools, and distributed systems.Experience in building machine learning applications, and broad knowledge of machine learning APIs, tools, and open source librariesStrong coding skills and fundamentals in data structures, predictive modelling and big data concepts Experience in designing full stack ML solutions in a distributed compute environmentExperience working with Python, Tensor Flow, Kera's, Sci-kit, pandas, NumPy, AZURE, AWS GPU Excellent communication skills with multiple levels of the organizationPay: AED10,000.00 - AED20,000.00 per monthExperience:<ul><li>ML: 3 years (Required)</li><li>Development: 5 years (Required)</li></ul>Language:<ul><li>Arabic (Preferred)</li></ul>Work Location: In person

Sr. Machine learning engineer.

Vtricks Technologies 

Job Title: AWS Cloud Engineer (4&ndash;7 Years)Location: Dubai Experience: 4&ndash;7 Years Employment Type: Full-TimeAbout the RoleWe are looking for a skilled AWS Cloud Engineer to join our growing team in Dubai. The ideal candidate should have strong hands-on experience in designing, deploying, and managing cloud-native applications and infrastructure on AWS. You will work closely with development and DevOps teams to build scalable, secure, and highly available cloud solutions while driving automation and operational excellence.Key Responsibilities<ul><li>Design, deploy, and manage scalable cloud infrastructure on AWS.</li><li>Work extensively with AWS services such as EC2, VPC, IAM, S3, RDS, ELB/ALB, Route 53, CloudWatch, and CloudFormation.</li><li>Build, deploy, and support microservices-based applications.</li><li>Develop and maintain CI/CD pipelines using Azure DevOps, Jenkins, GitHub Actions, or similar tools.</li><li>Containerize applications using Docker and manage Kubernetes clusters (EKS preferred).</li><li>Implement Infrastructure as Code (IaC) using Terraform or CloudFormation.</li><li>Collaborate with development teams to integrate backend services and REST APIs.</li><li>Monitor infrastructure, troubleshoot production issues, and optimize system performance.</li><li>Implement cloud security best practices, IAM policies, authentication, and access controls.</li><li>Work with messaging systems such as Kafka, RabbitMQ, or IBM MQ for event-driven architectures.</li><li>Ensure high availability, scalability, and disaster recovery for cloud applications.</li><li>Participate in Agile/Scrum ceremonies and support continuous improvement initiatives.</li></ul>Required Skills<ul><li>4&ndash;7 years of experience in AWS Cloud Engineering, DevOps, or Cloud Infrastructure.</li><li>Strong hands-on experience with AWS core services (EC2, VPC, IAM, S3, RDS, ELB, CloudWatch).</li><li>Experience with Docker and Kubernetes (EKS preferred).</li><li>Strong understanding of Microservices Architecture and REST APIs.</li><li>Experience building and maintaining CI/CD pipelines using Azure DevOps, Jenkins, GitHub Actions, or similar.</li><li>Hands-on experience with Infrastructure as Code (Terraform preferred).</li><li>Knowledge of event-driven architecture and messaging platforms such as Kafka, RabbitMQ, or IBM MQ.</li><li>Proficiency in at least one programming language (Python, Node.js, or .NET).</li><li>Good understanding of IAM, OAuth2, cloud security, and authentication mechanisms.</li><li>Experience with monitoring and logging tools such as ELK Stack, CloudWatch, Prometheus, or Grafana.</li><li>Strong troubleshooting, analytical, and problem-solving skills.</li></ul>Good to Have<ul><li>AWS Certifications (AWS Solutions Architect Associate, AWS Cloud Practitioner, or equivalent).</li><li>Exposure to Azure, GCP, or OCI.</li><li>Experience working in Banking, FinTech, or other regulated industries.</li><li>Knowledge of DevSecOps practices and security automation.</li><li>Experience with Agile/Scrum development methodologies.</li></ul>Preferred Qualifications<ul><li>Bachelor's degree in Computer Science, Information Technology, or a related field.</li><li>Excellent communication and stakeholder management skills.</li><li>Ability to work independently in a fast-paced, collaborative environment.</li></ul>Why Join Us?<ul><li>Opportunity to work on enterprise-scale cloud transformation projects.</li><li>Exposure to modern cloud-native technologies and DevOps practices.</li><li>Collaborative work environment with opportunities for continuous learning and career growth.</li><li>Competitive compensation and benefits.</li></ul>Pay: AED3,755.12 - AED16,307.19 per monthApplication Question(s):<ul><li>What is your notice period in days?</li></ul>Experience:<ul><li>AWS Cloud Engineering, DevOps, or Cloud Infrastructure: 4 years (Required)</li></ul>Location:<ul><li>Dubai (Required)</li></ul>Work Location: In person

AWS Cloud Engineer (4–7 Years)

INNOBAYT INNOVATIVE SOLUTIONS

About the RoleInnobayt is seeking a highly motivated AI Engineer Intern for a 3-month intensive internship. During this program, you'll gain hands-on experience working on real-world AI projects involving Machine Learning, Large Language Models (LLMs), AI Agents, Retrieval-Augmented Generation (RAG), and Computer Vision. You'll collaborate closely with our experienced engineering team to develop innovative and impactful AI solutions.Key Responsibilities<ul><li>Assist in developing, fine-tuning, and optimizing machine learning models.</li><li>Build AI-powered solutions, including AI Agents and LLM-based applications.</li><li>Prepare and preprocess datasets for AI model development.</li><li>Research and experiment with LLMs, RAG, prompt engineering, and emerging AI technologies.</li><li>Integrate AI models into applications, APIs, and production workflows.</li><li>Evaluate, test, and improve AI model performance.</li><li>Collaborate with the engineering team on real-world AI projects.</li><li>Document technical work, experiments, and project progress.</li></ul>What We're Looking for Technical Skills<ul><li>Bachelor's degree (or final-year student) in Computer Science, Artificial Intelligence, Data Science, Software Engineering, or a related field. Fresh graduates are encouraged to apply.</li><li>Proficiency in Python and familiarity with AI/ML frameworks such as TensorFlow, PyTorch, or Hugging Face.</li><li>Basic understanding of Machine Learning, Deep Learning, Natural Language Processing (NLP), or Computer Vision.</li><li>Familiarity with LLMs, embeddings, vector databases, RAG, LangChain, or OpenAI APIs is an advantage.</li><li>Basic knowledge of cloud platforms such as AWS, Microsoft Azure, or Google Cloud Platform (GCP) is a plus.</li></ul>Language Requirement<ul><li>Fluent in Arabic (required)</li><li>Fluent in English (required)</li></ul>Mindset &amp; Work Approach<ul><li>Passion for Artificial Intelligence and emerging technologies.</li><li>Eagerness to learn, experiment, and solve real-world challenges.</li><li>Strong analytical, problem-solving, and communication skills.</li><li>Ability to work effectively in a collaborative and fast-paced environment.</li></ul>What We Offer<ul><li>Hands-on experience working on real-world AI projects.</li><li>Mentorship from experienced AI and software engineers.</li><li>Exposure to modern AI tools, frameworks, and industry best practices.</li><li>A nominal monthly stipend (the exact amount will be discussed during the interview).</li><li>Internship certificate upon successful completion.</li><li>Opportunity for a full-time role based on performance.</li></ul>Job Type: InternshipWork Location: In person

AI Engineer Intern – 3-Month Internship

<div>Location:
Dubai, Dubai Emirate, United Arab Emirates
Job ID:
R0130054
Date Posted:
2026-07-02
Company Name:
HITACHI ENERGY L.L.C
Profession (Job Category):
Engineering &amp; Science
Job Schedule:
Full time
Remote:
No
Job Description:
Join our Grid Quality team as a Power System Simulation Model Engineer and help shape the future of sustainable energy. Work on cutting-edge solutions that strengthen grids, enable renewable integration, and accelerate the energy transition&mdash;perfect for fresh graduates in Electrical, Power, or Energy Engineering.
How you&rsquo;ll make an impact:
<ul><li>Develop, implement, validate, and deliver simulation models to our customers in tenders and projects using various power system tools to support grid optimization and renewable integration
</li><li>Collaborate with cross-functional teams, including our R&amp;D, and customers, to gather requirements to support the design of effective technical solutions
</li><li>Create software in the loop model of real-time control functions
</li><li>Perform testing and validation of power system models and associated tools
</li><li>Perform RMS simulation studies with customer networks
</li><li>Prepare clear and structured technical documentation and reports
</li><li>Stay updated on industry trends, tools, and best practices in power system modeling
</li><li>Contribute to knowledge sharing by supporting, training, and collaborating with colleagues throughout project execution
</li></ul>Your Background:
<ul><li>M.Sc. or Ph.D. in Electrical Engineering or a related field, with at least three years of experience in power system analysis
</li><li>Knowledge of, or experience with, simulation tools such as RTDS, PSCAD, PSS&reg;E, DIgSILENT PowerFactory, MATLAB, EMTP, or Python
</li><li>Interest in or experience with programming (e.g., C++, C#, FROTRAN, DSL, Python, MATLAB, ), control theory, signal processing, and dynamic modelling
</li><li>Strong communication and collaboration skills
</li><li>Ability to work independently, take initiative, and solve complex problems
</li>Proficiency in English is required; knowledge of Swedish is considered an advantage 
<li>
</li></ul>Accessibility and reasonable accommodation
Qualified individuals with a disability may request a reasonable accommodation if you are unable or limited in your ability to use or access the Hitachi Energy career site as a result of your disability. You may request reasonable accommodations by completing a general inquiry form on our website. Please include your contact information and specific details about your required accommodation to support you during the job application process. 
 
This is solely for job seekers with disabilities requiring accessibility assistance or an accommodation in the job application process. Messages left for other purposes will not receive a response. 
 
Use of Al and automated tools in recruitment
As part of our recruitment process, Hitachi Energy uses digital and automated tools, including Al-supported solutions, to assist with activities such as application screening, job matching, and interview scheduling. These tools are designed to support our recruiters and do not replace human decision-making. Candidate data is processed in accordance with applicable data protection and employment laws as well as Hitachi's Global Data Privacy Notice.
 
 
Background Screening and Security Checks
As part of the hiring process, Hitachi Energy conducts pre-employment background checks that may include verification of employment history, education, criminal records, and other relevant information, in accordance with applicable laws.
For certain roles&mdash;particularly those involving access to sensitive information, financial responsibilities, client data, regulated environments, or security-sensitive functions&mdash;additional or more comprehensive background or security screenings may be required. These may include, but are not limited to, enhanced criminal history checks, credit history reviews (where legally permissible), sanctions screening, or other due diligence measures aligned with the responsibilities of the position.
The scope and depth of any background or security review will be determined based on the nature of the role and business necessity, and will always be conducted in compliance with applicable federal, state, and local laws. Candidates will be notified and, where required, asked to provide consent prior to the initiation of any such checks.</div>

Explore 217+ Python engineer in Dubai this July. Find roles across top companies and apply now to boost your career.

217 python engineer jobs In Dubai

Power System Simulation Model Engineer

DevOps Engineer

AI Engineer

Sr. Machine learning engineer.

AWS Cloud Engineer (4–7 Years)

AI Engineer Intern – 3-Month Internship

Power System Simulation Model Engineer